\nAnswer the following clarification questions to assist the DeepResearcher better under the research topic.\n
\n\n
\nTotal {{ $('Feedback to Items').all().length }} questions.\n
" +}, +"formFields": { +"values": [ +{ +"fieldType": "textarea", +"fieldLabel": "={{ $json[\"output.questions\"] }}", +"placeholder": "=", +"requiredField": true +} +] +} +}, +"typeVersion": 1 +}, +{ +"id": "e07d8c3e-8bcd-4393-9892-f825433ab58d", +"name": "For Each Question...", +"type": "n8n-nodes-base.splitInBatches", +"position": [ +-540, +-460 +], +"parameters": { +"options": {} +}, +"typeVersion": 3 +}, +{ +"id": "e8d26351-52f4-40a6-ba5b-fb6bc816b734", +"name": "DeepResearch Subworkflow", +"type": "n8n-nodes-base.executeWorkflowTrigger", +"position": [ +-1880, +820 +], +"parameters": { +"workflowInputs": { +"values": [ +{ +"name": "requestId", +"type": "any" +}, +{ +"name": "jobType" +}, +{ +"name": "data", +"type": "object" +} +] +} +}, +"typeVersion": 1.1 +}, +{ +"id": "25a8055a-27aa-414f-856b-25a2e2f31974", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-1140, +-680 +], +"parameters": { +"color": 7, +"width": 1000, +"height": 560, +"content": "## 2. Ask Clarifying Questions\n[Read more about form nodes](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\n\nTo handle the clarification questions generated by the LLM, I used the same technique found in my \"AI Interviewer\" template ([link](https://n8n.io/workflows/2566-conversational-interviews-with-ai-agents-and-n8n-forms/)).\nThis involves a looping of dynamically generated forms to collect answers from the user." +}, +"typeVersion": 1 +}, +{ +"id": "68398b92-eb35-48bf-885e-540074531cc4", +"name": "Clarifying Questions", +"type": "@n8n/n8n-nodes-langchain.chainLlm", +"position": [ +-1040, +-460 +], +"parameters": { +"text": "=Given the following query from the user, ask some follow up questions to clarify the research direction. Return a maximum of 3 questions, but feel free to return less if the original query is clear:References
\n```\nwould convert to \n```\n{\"object\": \"block\", \"type\": \"heading_3\", \"heading_3\": { \"rich_text\": [{\"type\": \"text\",\"text\": {\"content\": \"References\"}}]}}\n```\n\n2. lists\n```\n- hello
- world
| Technology | Potential Impact |
|---|---|
| 5G Connectivity | Enables faster data speeds and advanced apps | \n
\nYour Report Is On Its Way!\n
\nDeepResearcher will now work independently to conduct the research and the compiled report will be uploaded to the following Notion page below when finished.\n
\nPlease click the \"Done\" button to complete the form.\n
" +}, +"formFields": { +"values": [ +{ +"html": "=\n
\n
\n",
+"fieldType": "html",
+"fieldLabel": "message"
+}
+]
+}
+},
+"typeVersion": 1
+},
+{
+"id": "97ba63b7-9248-4945-9c67-1ea114b20dc5",
+"name": "Research Request",
+"type": "n8n-nodes-base.form",
+"position": [
+-1560,
+-460
+],
+"webhookId": "d4ea875f-83cb-49a8-8992-c08b4114c9bd",
+"parameters": {
+"options": {
+"formTitle": "DeepResearcher",
+"formDescription": "=\n ![](\"https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto/v1/n8n-workflows/cajjymprexcoesu4gg9g\")
\n
\n \n \n
\n{{ $json.name }}
\n \n {{ $json.property_description }}\n
\n \n \n \n \n \n \n \n \n \n
",
+"fieldType": "html",
+"fieldLabel": "Enter research depth (recommended 1-5, default 2)"
+},
+{
+"html": "\n This value determines how many sub-queries to generate.\n
\n\n \n \n \n \n \n \n \n \n \n
\n\n",
+"fieldType": "html",
+"fieldLabel": "Enter research breadth (recommended 2-10, default 4)"
+},
+{
+"fieldType": "dropdown",
+"fieldLabel": "={{ \"\" }}",
+"multiselect": true,
+"fieldOptions": {
+"values": [
+{
+"option": "=I understand higher depth and breath values I've selected may incur longer wait times and higher costs. I acknowledging this and wish to proceed with the research request."
+}
+]
+},
+"requiredField": true
+}
+]
+}
+},
+"typeVersion": 1
+},
+{
+"id": "b3d11997-9c8c-4b72-b750-4fc22a2247b7",
+"name": "Valid Blocks",
+"type": "n8n-nodes-base.filter",
+"position": [
+740,
+1600
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "f68cefe0-e109-4d41-9aa3-043f3bc6c449",
+"operator": {
+"type": "string",
+"operation": "notExists",
+"singleValue": true
+},
+"leftValue": "={{ $json.error }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "ff90a1c1-b357-4012-8964-e007bef0c9db",
+"name": "Sticky Note12",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+620,
+1400
+],
+"parameters": {
+"color": 7,
+"width": 580,
+"height": 580,
+"content": "## 12. Append URL Sources List\n[Read more about the Code node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\n\nFor our source URLs, we'll manually compose the Notion blocks for them - this is because there's usually a lot of them! We'll then append to the end of the other blocks."
+},
+"typeVersion": 1
+},
+{
+"id": "f6b50f06-6122-494c-bdb8-4215f473a27d",
+"name": "Append Blocks",
+"type": "n8n-nodes-base.merge",
+"position": [
+1000,
+1760
+],
+"parameters": {},
+"typeVersion": 3
+},
+{
+"id": "ca39272a-828e-4314-80da-05dd5fd7b2e3",
+"name": "URL Sources to Lists",
+"type": "n8n-nodes-base.code",
+"position": [
+740,
+1760
+],
+"parameters": {
+"jsCode": "const urls = $('JobType Router').first().json.data.all_urls;\nconst chunksize = 50;\nconst splits = Math.max(1, Math.floor(urls.length/chunksize));\n\nconst blocks = Array(splits).fill(0)\n .map((_, idx) => {\n const block = urls\n .slice(\n idx * chunksize, \n (idx * chunksize) + chunksize - 1\n )\n .map(url => {\n return {\n object: \"block\",\n type: \"bulleted_list_item\",\n bulleted_list_item: {\n rich_text: [\n { type: \"text\", text: { content: url } }\n ]\n }\n }\n });\n return { json: { block } }\n });\n\nreturn [\n { json: {\n block:[{\n \"object\": \"block\",\n \"type\": \"heading_2\",\n \"heading_2\": {\n \"rich_text\": [\n {\n \"type\": \"text\",\n \"text\": {\n \"content\": \"Sources\"\n }\n }\n ]\n }\n }]\n } },\n ...blocks\n];"
+},
+"typeVersion": 2
+},
+{
+"id": "e2e2b07a-4039-4859-b60c-f51982475282",
+"name": "Has Results?",
+"type": "n8n-nodes-base.if",
+"position": [
+240,
+980
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "9ef8d40c-1289-4654-9022-4a07f7102555",
+"operator": {
+"type": "array",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json.results }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "5662dbf2-8877-4e83-982c-6bc5968b8835",
+"name": "Empty Response",
+"type": "n8n-nodes-base.set",
+"position": [
+1040,
+1120
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "1de40158-338b-4db3-9e22-6fd63b21f825",
+"name": "ResearchGoal",
+"type": "string",
+"value": "={{ $('Item Ref').first().json.researchGoal }}"
+},
+{
+"id": "9f59a2d4-5e5a-4d0b-8adf-2832ce746f0f",
+"name": "learnings",
+"type": "array",
+"value": "={{ [] }}"
+},
+{
+"id": "972ab5f5-0537-4755-afcb-d1db4f09ad60",
+"name": "followUpQuestions",
+"type": "array",
+"value": "={{ [] }}"
+},
+{
+"id": "90cef471-76b0-465d-91a4-a0e256335cd3",
+"name": "urls",
+"type": "array",
+"value": "={{ [] }}"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "678b6af5-da74-4421-8c3d-0166aa52efd9",
+"name": "Has Content?",
+"type": "n8n-nodes-base.if",
+"position": [
+880,
+980
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "1ef1039a-4792-47f9-860b-d2ffcffd7129",
+"operator": {
+"type": "object",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "233f2e19-b4f2-4de3-8002-f79f3c01c1e7",
+"name": "Sticky Note13",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-1820,
+-240
+],
+"parameters": {
+"color": 5,
+"width": 300,
+"height": 100,
+"content": "### Not using forms?\nFeel free ot swap this out for chat or even webhooks to fit your existing workflows."
+},
+"typeVersion": 1
+},
+{
+"id": "453bb6eb-f2b0-4e21-b647-e095c80b7844",
+"name": "Sticky Note14",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-1880,
+540
+],
+"parameters": {
+"color": 5,
+"width": 460,
+"height": 240,
+"content": "### 🚏 The Subworkflow Event Pattern \nIf you're new to n8n, this advanced technique might need some explaining but in gist, we're using subworkflows to run different parts of our DeepResearcher workflow as separate executions.\n\n* Necessary to implement the recursive loop mechanism needed to enable this workflow.\n* Negates the need to split this workflow into multiple templates.\n* Great generally for building high performance n8n workflows (a topic for a future post!)"
+},
+"typeVersion": 1
+},
+{
+"id": "289cbe4c-c2e3-46b7-8799-197a7d78ab2a",
+"name": "Sticky Note15",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+720,
+-60
+],
+"parameters": {
+"color": 5,
+"width": 340,
+"height": 200,
+"content": "### Recursive Looping\nThe recursive looping implemented for this workflow is an advanced item-linking technique. It works by specifically controlling which nodes \"execute once\" vs\" execute for each item\" because of this becareful of ermoving nodes! Always check the settings of the node you're replacing and ensure the settings match. "
+},
+"typeVersion": 1
+},
+{
+"id": "b95ffdcd-c0d1-4a12-a7a9-24135db7b467",
+"name": "Combine & Send back to Loop",
+"type": "n8n-nodes-base.aggregate",
+"position": [
+-240,
+820
+],
+"parameters": {
+"options": {},
+"aggregate": "aggregateAllItemData"
+},
+"typeVersion": 1
+},
+{
+"id": "f0a48ab5-70b9-49dc-a153-61e573803d1e",
+"name": "For Each Block...",
+"type": "n8n-nodes-base.splitInBatches",
+"position": [
+1440,
+1600
+],
+"parameters": {
+"options": {}
+},
+"typeVersion": 3
+},
+{
+"id": "2fd17fbd-005d-446e-b014-0da190cd3114",
+"name": "Sticky Note16",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-2420,
+-920
+],
+"parameters": {
+"width": 520,
+"height": 1060,
+"content": "## n8n DeepResearcher\n### This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.\n\nThough the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at!\n\n### How it works\n* A form is used to first capture the user's research query and how deep they'd like the researcher to go.\n* Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work.\n* The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings.\n* Once complete, all learnings are combined and given to a reasoning LLM to generate the final report.\n* The report is then written to the placeholder Notion page created earlier. \n\n### How to use\n* Duplicate this Notion database to use with this template: https://jimleuk.notion.site/19486dd60c0c80da9cb7eb1468ea9afd?v=19486dd60c0c805c8e0c000ce8c87acf\n* Sign-up for [APIFY.com](https://www.apify.com?fpr=414q6) API Key for web search and scraping services.\n* Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series.\n* You must publish this workflow and ensure the form url is publically accessible.\n\n### On Depth & Breadth Configuration\nFor more detailed reports, increase depth and breadth but be warned the workflow will take a exponentially more time and money to complete. The defaults are usually good enough.\n\nDepth=1 & Breadth=2 - will take about 10 - 15mins.\nDepth=1 & Breadth=4 - will take about 30 - 40mins.\nDpeth=3 & Breadth=5 - will take about 2 - 5 hours!\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
+},
+"typeVersion": 1
+},
+{
+"id": "ac6f2604-7439-4524-a27e-2f031ebce089",
+"name": "Sticky Note17",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-2420,
+-1180
+],
+"parameters": {
+"color": 7,
+"width": 520,
+"height": 240,
+"content": ""
+},
+"typeVersion": 1
+},
+{
+"id": "40e3a0cf-7710-4537-b147-37ba8945fdbc",
+"name": "Sticky Note18",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-120,
+960
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
+},
+"typeVersion": 1
+},
+{
+"id": "5a96ecc2-eeea-4c33-b299-7a7f2ca7559c",
+"name": "Sticky Note19",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+520,
+960
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
+},
+"typeVersion": 1
+},
+{
+"id": "23bca6e2-e16a-48a4-a7fc-96ce25846764",
+"name": "Sticky Note20",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1640,
+1740
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE NOTION CREDENTIAL HERE!"
+},
+"typeVersion": 1
+}
+],
+"pinData": {},
+"connections": {
+"Item Ref": {
+"main": [
+[
+{
+"node": "Web Search",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Create Row": {
+"main": [
+[
+{
+"node": "Initiate DeepResearch",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Web Search": {
+"main": [
+[
+{
+"node": "Top 5 Organic Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Valid Pages": {
+"main": [
+[
+{
+"node": "Has Content?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Confirmation": {
+"main": [
+[
+{
+"node": "End Form",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Has Content?": {
+"main": [
+[
+{
+"node": "Convert to Markdown",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Empty Response",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Has Results?": {
+"main": [
+[
+{
+"node": "URLs to Items",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Empty Response",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Valid Blocks": {
+"main": [
+[
+{
+"node": "Append Blocks",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Append Blocks": {
+"main": [
+[
+{
+"node": "For Each Block...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"HTML to Array": {
+"main": [
+[
+{
+"node": "Tags to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Page Contents": {
+"main": [
+[
+{
+"node": "Valid Pages",
+"type": "main",
+"index": 0
+}
+],
+[]
+]
+},
+"SERP to Items": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Variables": {
+"main": [
+[
+{
+"node": "Clarifying Questions",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Tags to Items": {
+"main": [
+[
+{
+"node": "Notion Block Generator",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"URLs to Items": {
+"main": [
+[
+{
+"node": "Page Contents",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Empty Response": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Execution Data": {
+"main": [
+[
+{
+"node": "JobType Router",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"JobType Router": {
+"main": [
+[
+{
+"node": "Get Existing Row",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Generate SERP Queries",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Get Existing Row1",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Convert to HTML": {
+"main": [
+[
+{
+"node": "HTML to Array",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set In-Progress": {
+"main": [
+[
+{
+"node": "Set Initial Query",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Existing Row": {
+"main": [
+[
+{
+"node": "Set In-Progress",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Research Request": {
+"main": [
+[
+{
+"node": "Set Variables",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Results to Items": {
+"main": [
+[
+{
+"node": "Set Next Queries",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Next Queries": {
+"main": [
+[
+{
+"node": "Generate Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Feedback to Items": {
+"main": [
+[
+{
+"node": "For Each Question...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Block...": {
+"main": [
+[
+{
+"node": "Set Done",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Upload to Notion Page",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Query...": {
+"main": [
+[
+{
+"node": "Combine & Send back to Loop",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Item Ref",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Existing Row1": {
+"main": [
+[
+{
+"node": "DeepResearch Report",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Initial Query": {
+"main": [
+[
+{
+"node": "Report Page Generator",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Is Depth Reached?": {
+"main": [
+[
+{
+"node": "Get Research Results",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "DeepResearch Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model": {
+"ai_languageModel": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Parse JSON blocks": {
+"main": [
+[
+{
+"node": "Valid Blocks",
+"type": "main",
+"index": 0
+},
+{
+"node": "URL Sources to Lists",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Initial Query": {
+"main": [
+[
+{
+"node": "Generate Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Accumulate Results": {
+"main": [
+[
+{
+"node": "Is Depth Reached?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Generate Learnings": {
+"main": [
+[
+{
+"node": "Accumulate Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"On form submission": {
+"main": [
+[
+{
+"node": "Research Request",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model1": {
+"ai_languageModel": [
+[
+{
+"node": "DeepResearch Report",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model2": {
+"ai_languageModel": [
+[
+{
+"node": "Clarifying Questions",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model3": {
+"ai_languageModel": [
+[
+{
+"node": "Generate SERP Queries",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model4": {
+"ai_languageModel": [
+[
+{
+"node": "Report Page Generator",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Convert to Markdown": {
+"main": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Report": {
+"main": [
+[
+{
+"node": "Convert to HTML",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Clarifying Questions": {
+"main": [
+[
+{
+"node": "Feedback to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Results": {
+"main": [
+[
+{
+"node": "Results to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Question...": {
+"main": [
+[
+{
+"node": "Get Initial Query",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Ask Clarity Questions",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Research Results": {
+"main": [
+[
+{
+"node": "Generate Report",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"URL Sources to Lists": {
+"main": [
+[
+{
+"node": "Append Blocks",
+"type": "main",
+"index": 1
+}
+]
+]
+},
+"Ask Clarity Questions": {
+"main": [
+[
+{
+"node": "For Each Question...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Generate SERP Queries": {
+"main": [
+[
+{
+"node": "SERP to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Initiate DeepResearch": {
+"main": [
+[
+{
+"node": "Confirmation",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Report Page Generator": {
+"main": [
+[
+{
+"node": "Create Row",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Top 5 Organic Results": {
+"main": [
+[
+{
+"node": "Has Results?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Upload to Notion Page": {
+"main": [
+[
+{
+"node": "For Each Block...",
+"type": "main",
+"index": 0
+}
+],
+[]
+]
+},
+"DeepResearch Learnings": {
+"main": [
+[
+{
+"node": "Research Goal + Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Notion Block Generator": {
+"main": [
+[
+{
+"node": "Parse JSON blocks",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Subworkflow": {
+"main": [
+[
+{
+"node": "Execution Data",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Google Gemini Chat Model": {
+"ai_languageModel": [
+[
+{
+"node": "Notion Block Generator",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser": {
+"ai_outputParser": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Research Goal + Learnings": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser1": {
+"ai_outputParser": [
+[
+{
+"node": "Clarifying Questions",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser2": {
+"ai_outputParser": [
+[
+{
+"node": "Generate SERP Queries",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser4": {
+"ai_outputParser": [
+[
+{
+"node": "Report Page Generator",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+}
+}
+}{
+"meta": {
+"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
+"templateCredsSetupCompleted": true
+},
+"nodes": [
+{
+"id": "645ae2b1-799e-49be-8bdf-12cd1bb739e6",
+"name": "Structured Output Parser",
+"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
+"position": [
+1680,
+1140
+],
+"parameters": {
+"schemaType": "manual",
+"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"learnings\": {\n \"type\": \"array\",\n \"description\": \"List of learnings, max of 3.\",\n \"items\": { \"type\": \"string\" }\n },\n \"followUpQuestions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\",\n \"description\": \"List of follow-up questions to research the topic further, max of 3.\"\n }\n }\n }\n}"
+},
+"typeVersion": 1.2
+},
+{
+"id": "cbdb4e98-eeba-4609-91de-394c416b7904",
+"name": "Set Variables",
+"type": "n8n-nodes-base.set",
+"position": [
+-1360,
+-460
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "df28b12e-7c20-4ff5-b5b8-dc773aa14d4b",
+"name": "request_id",
+"type": "string",
+"value": "={{ $execution.id }}"
+},
+{
+"id": "9362c1e7-717d-444a-8ea2-6b5f958c9f3f",
+"name": "prompt",
+"type": "string",
+"value": "={{ $json['What would you like to research?'] }}"
+},
+{
+"id": "09094be4-7844-4a9e-af82-cc8e39322398",
+"name": "depth",
+"type": "number",
+"value": "={{ $json['Enter research depth (recommended 1-5, default 2)'] || 2 }}"
+},
+{
+"id": "3fc30a30-7806-4013-835d-97e27ddd7ae1",
+"name": "breadth",
+"type": "number",
+"value": "={{ $json['Enter research breadth (recommended 2-10, default 4)'] || 4 }}"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "c7096ab9-0b10-45b0-b178-a049bf57830b",
+"name": "OpenAI Chat Model",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+1500,
+1140
+],
+"parameters": {
+"model": {
+"__rl": true,
+"mode": "id",
+"value": "o3-mini"
+},
+"options": {}
+},
+"credentials": {
+"openAiApi": {
+"id": "8gccIjcuf3gvaoEr",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "d0f1bc2f-6a10-4ac7-8d35-34f48f14fad5",
+"name": "OpenAI Chat Model1",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+-860,
+1760
+],
+"parameters": {
+"model": {
+"__rl": true,
+"mode": "id",
+"value": "o3-mini"
+},
+"options": {}
+},
+"credentials": {
+"openAiApi": {
+"id": "8gccIjcuf3gvaoEr",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "bba3278c-0336-4305-887d-56515dfd87db",
+"name": "OpenAI Chat Model2",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+-1060,
+-300
+],
+"parameters": {
+"model": {
+"__rl": true,
+"mode": "id",
+"value": "o3-mini"
+},
+"options": {}
+},
+"credentials": {
+"openAiApi": {
+"id": "8gccIjcuf3gvaoEr",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "f31f2fc7-0bec-4105-9d83-5f4f9a0eb35d",
+"name": "Structured Output Parser1",
+"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
+"position": [
+-840,
+-300
+],
+"parameters": {
+"schemaType": "manual",
+"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"questions\": {\n \"type\": \"array\",\n \"description\": \"Follow up questions to clarify the research direction, max of 3.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n }\n}"
+},
+"typeVersion": 1.2
+},
+{
+"id": "ea59c5ab-fa05-4c68-bc60-3f56e240478b",
+"name": "On form submission",
+"type": "n8n-nodes-base.formTrigger",
+"position": [
+-1760,
+-460
+],
+"webhookId": "7ddfaa7c-a523-4d92-b033-d76cd5a313e9",
+"parameters": {
+"options": {
+"path": "deep_research",
+"ignoreBots": true,
+"buttonLabel": "Next"
+},
+"formTitle": " DeepResearcher",
+"formFields": {
+"values": [
+{
+"fieldType": "html",
+"fieldLabel": "placeholder"
+}
+]
+},
+"formDescription": "=DeepResearcher is a multi-step, recursive approach using the internet to solve complex research tasks, accomplishing in tens of minutes what a human would take many hours.\n\nTo use, provide a short summary of what the research and how \"deep\" you'd like the workflow to investigate. Note, the higher the numbers the more time and cost will occur for the research.\n\nThe workflow is designed to complete independently and when finished, a report will be saved in a designated Notion Database."
+},
+"typeVersion": 2.2
+},
+{
+"id": "a8262288-a8c1-4967-9870-f728fa08b579",
+"name": "Generate SERP Queries",
+"type": "@n8n/n8n-nodes-langchain.chainLlm",
+"position": [
+-1040,
+820
+],
+"parameters": {
+"text": "=Given the following prompt from the user, generate a list of SERP queries to research the topic. Return a maximum of {{ $('JobType Router').first().json.data.breadth }} queries, but feel free to return less if the original prompt is clear. Make sure each query is unique and not similar to each other: \n This value determines how many sources to explore.\n
\n\nAnswer the following clarification questions to assist the DeepResearcher better under the research topic.\n
\n\n
\nTotal {{ $('Feedback to Items').all().length }} questions.\n
" +}, +"formFields": { +"values": [ +{ +"fieldType": "textarea", +"fieldLabel": "={{ $json[\"output.questions\"] }}", +"placeholder": "=", +"requiredField": true +} +] +} +}, +"typeVersion": 1 +}, +{ +"id": "e07d8c3e-8bcd-4393-9892-f825433ab58d", +"name": "For Each Question...", +"type": "n8n-nodes-base.splitInBatches", +"position": [ +-540, +-460 +], +"parameters": { +"options": {} +}, +"typeVersion": 3 +}, +{ +"id": "e8d26351-52f4-40a6-ba5b-fb6bc816b734", +"name": "DeepResearch Subworkflow", +"type": "n8n-nodes-base.executeWorkflowTrigger", +"position": [ +-1880, +820 +], +"parameters": { +"workflowInputs": { +"values": [ +{ +"name": "requestId", +"type": "any" +}, +{ +"name": "jobType" +}, +{ +"name": "data", +"type": "object" +} +] +} +}, +"typeVersion": 1.1 +}, +{ +"id": "25a8055a-27aa-414f-856b-25a2e2f31974", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-1140, +-680 +], +"parameters": { +"color": 7, +"width": 1000, +"height": 560, +"content": "## 2. Ask Clarifying Questions\n[Read more about form nodes](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\n\nTo handle the clarification questions generated by the LLM, I used the same technique found in my \"AI Interviewer\" template ([link](https://n8n.io/workflows/2566-conversational-interviews-with-ai-agents-and-n8n-forms/)).\nThis involves a looping of dynamically generated forms to collect answers from the user." +}, +"typeVersion": 1 +}, +{ +"id": "68398b92-eb35-48bf-885e-540074531cc4", +"name": "Clarifying Questions", +"type": "@n8n/n8n-nodes-langchain.chainLlm", +"position": [ +-1040, +-460 +], +"parameters": { +"text": "=Given the following query from the user, ask some follow up questions to clarify the research direction. Return a maximum of 3 questions, but feel free to return less if the original query is clear:References
\n```\nwould convert to \n```\n{\"object\": \"block\", \"type\": \"heading_3\", \"heading_3\": { \"rich_text\": [{\"type\": \"text\",\"text\": {\"content\": \"References\"}}]}}\n```\n\n2. lists\n```\n- hello
- world
| Technology | Potential Impact |
|---|---|
| 5G Connectivity | Enables faster data speeds and advanced apps | \n
\nYour Report Is On Its Way!\n
\nDeepResearcher will now work independently to conduct the research and the compiled report will be uploaded to the following Notion page below when finished.\n
\nPlease click the \"Done\" button to complete the form.\n
" +}, +"formFields": { +"values": [ +{ +"html": "=\n
\n
\n",
+"fieldType": "html",
+"fieldLabel": "message"
+}
+]
+}
+},
+"typeVersion": 1
+},
+{
+"id": "97ba63b7-9248-4945-9c67-1ea114b20dc5",
+"name": "Research Request",
+"type": "n8n-nodes-base.form",
+"position": [
+-1560,
+-460
+],
+"webhookId": "d4ea875f-83cb-49a8-8992-c08b4114c9bd",
+"parameters": {
+"options": {
+"formTitle": "DeepResearcher",
+"formDescription": "=\n \n
\n \n \n
\n{{ $json.name }}
\n \n {{ $json.property_description }}\n
\n \n \n \n \n \n \n \n \n \n
",
+"fieldType": "html",
+"fieldLabel": "Enter research depth (recommended 1-5, default 2)"
+},
+{
+"html": "\n This value determines how many sub-queries to generate.\n
\n\n \n \n \n \n \n \n \n \n \n
\n\n",
+"fieldType": "html",
+"fieldLabel": "Enter research breadth (recommended 2-10, default 4)"
+},
+{
+"fieldType": "dropdown",
+"fieldLabel": "={{ \"\" }}",
+"multiselect": true,
+"fieldOptions": {
+"values": [
+{
+"option": "=I understand higher depth and breath values I've selected may incur longer wait times and higher costs. I acknowledging this and wish to proceed with the research request."
+}
+]
+},
+"requiredField": true
+}
+]
+}
+},
+"typeVersion": 1
+},
+{
+"id": "b3d11997-9c8c-4b72-b750-4fc22a2247b7",
+"name": "Valid Blocks",
+"type": "n8n-nodes-base.filter",
+"position": [
+740,
+1600
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "f68cefe0-e109-4d41-9aa3-043f3bc6c449",
+"operator": {
+"type": "string",
+"operation": "notExists",
+"singleValue": true
+},
+"leftValue": "={{ $json.error }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "ff90a1c1-b357-4012-8964-e007bef0c9db",
+"name": "Sticky Note12",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+620,
+1400
+],
+"parameters": {
+"color": 7,
+"width": 580,
+"height": 580,
+"content": "## 12. Append URL Sources List\n[Read more about the Code node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\n\nFor our source URLs, we'll manually compose the Notion blocks for them - this is because there's usually a lot of them! We'll then append to the end of the other blocks."
+},
+"typeVersion": 1
+},
+{
+"id": "f6b50f06-6122-494c-bdb8-4215f473a27d",
+"name": "Append Blocks",
+"type": "n8n-nodes-base.merge",
+"position": [
+1000,
+1760
+],
+"parameters": {},
+"typeVersion": 3
+},
+{
+"id": "ca39272a-828e-4314-80da-05dd5fd7b2e3",
+"name": "URL Sources to Lists",
+"type": "n8n-nodes-base.code",
+"position": [
+740,
+1760
+],
+"parameters": {
+"jsCode": "const urls = $('JobType Router').first().json.data.all_urls;\nconst chunksize = 50;\nconst splits = Math.max(1, Math.floor(urls.length/chunksize));\n\nconst blocks = Array(splits).fill(0)\n .map((_, idx) => {\n const block = urls\n .slice(\n idx * chunksize, \n (idx * chunksize) + chunksize - 1\n )\n .map(url => {\n return {\n object: \"block\",\n type: \"bulleted_list_item\",\n bulleted_list_item: {\n rich_text: [\n { type: \"text\", text: { content: url } }\n ]\n }\n }\n });\n return { json: { block } }\n });\n\nreturn [\n { json: {\n block:[{\n \"object\": \"block\",\n \"type\": \"heading_2\",\n \"heading_2\": {\n \"rich_text\": [\n {\n \"type\": \"text\",\n \"text\": {\n \"content\": \"Sources\"\n }\n }\n ]\n }\n }]\n } },\n ...blocks\n];"
+},
+"typeVersion": 2
+},
+{
+"id": "e2e2b07a-4039-4859-b60c-f51982475282",
+"name": "Has Results?",
+"type": "n8n-nodes-base.if",
+"position": [
+240,
+980
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "9ef8d40c-1289-4654-9022-4a07f7102555",
+"operator": {
+"type": "array",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json.results }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "5662dbf2-8877-4e83-982c-6bc5968b8835",
+"name": "Empty Response",
+"type": "n8n-nodes-base.set",
+"position": [
+1040,
+1120
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "1de40158-338b-4db3-9e22-6fd63b21f825",
+"name": "ResearchGoal",
+"type": "string",
+"value": "={{ $('Item Ref').first().json.researchGoal }}"
+},
+{
+"id": "9f59a2d4-5e5a-4d0b-8adf-2832ce746f0f",
+"name": "learnings",
+"type": "array",
+"value": "={{ [] }}"
+},
+{
+"id": "972ab5f5-0537-4755-afcb-d1db4f09ad60",
+"name": "followUpQuestions",
+"type": "array",
+"value": "={{ [] }}"
+},
+{
+"id": "90cef471-76b0-465d-91a4-a0e256335cd3",
+"name": "urls",
+"type": "array",
+"value": "={{ [] }}"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "678b6af5-da74-4421-8c3d-0166aa52efd9",
+"name": "Has Content?",
+"type": "n8n-nodes-base.if",
+"position": [
+880,
+980
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "1ef1039a-4792-47f9-860b-d2ffcffd7129",
+"operator": {
+"type": "object",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "233f2e19-b4f2-4de3-8002-f79f3c01c1e7",
+"name": "Sticky Note13",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-1820,
+-240
+],
+"parameters": {
+"color": 5,
+"width": 300,
+"height": 100,
+"content": "### Not using forms?\nFeel free ot swap this out for chat or even webhooks to fit your existing workflows."
+},
+"typeVersion": 1
+},
+{
+"id": "453bb6eb-f2b0-4e21-b647-e095c80b7844",
+"name": "Sticky Note14",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-1880,
+540
+],
+"parameters": {
+"color": 5,
+"width": 460,
+"height": 240,
+"content": "### 🚏 The Subworkflow Event Pattern \nIf you're new to n8n, this advanced technique might need some explaining but in gist, we're using subworkflows to run different parts of our DeepResearcher workflow as separate executions.\n\n* Necessary to implement the recursive loop mechanism needed to enable this workflow.\n* Negates the need to split this workflow into multiple templates.\n* Great generally for building high performance n8n workflows (a topic for a future post!)"
+},
+"typeVersion": 1
+},
+{
+"id": "289cbe4c-c2e3-46b7-8799-197a7d78ab2a",
+"name": "Sticky Note15",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+720,
+-60
+],
+"parameters": {
+"color": 5,
+"width": 340,
+"height": 200,
+"content": "### Recursive Looping\nThe recursive looping implemented for this workflow is an advanced item-linking technique. It works by specifically controlling which nodes \"execute once\" vs\" execute for each item\" because of this becareful of ermoving nodes! Always check the settings of the node you're replacing and ensure the settings match. "
+},
+"typeVersion": 1
+},
+{
+"id": "b95ffdcd-c0d1-4a12-a7a9-24135db7b467",
+"name": "Combine & Send back to Loop",
+"type": "n8n-nodes-base.aggregate",
+"position": [
+-240,
+820
+],
+"parameters": {
+"options": {},
+"aggregate": "aggregateAllItemData"
+},
+"typeVersion": 1
+},
+{
+"id": "f0a48ab5-70b9-49dc-a153-61e573803d1e",
+"name": "For Each Block...",
+"type": "n8n-nodes-base.splitInBatches",
+"position": [
+1440,
+1600
+],
+"parameters": {
+"options": {}
+},
+"typeVersion": 3
+},
+{
+"id": "2fd17fbd-005d-446e-b014-0da190cd3114",
+"name": "Sticky Note16",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-2420,
+-920
+],
+"parameters": {
+"width": 520,
+"height": 1060,
+"content": "## n8n DeepResearcher\n### This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.\n\nThough the inner workings of DeepResearch have not been made public, it is presumed the feature relies on the ability to deep search the web, scrape web content and invoking reasoning models to generate reports. All of which n8n is really good at!\n\n### How it works\n* A form is used to first capture the user's research query and how deep they'd like the researcher to go.\n* Once submitted, a blank Notion page is created which will later hold the final report and the researcher gets to work.\n* The user's query goes through a recursive series of web serches and web scraping to collect data on the research topic to generate partial learnings.\n* Once complete, all learnings are combined and given to a reasoning LLM to generate the final report.\n* The report is then written to the placeholder Notion page created earlier. \n\n### How to use\n* Duplicate this Notion database to use with this template: https://jimleuk.notion.site/19486dd60c0c80da9cb7eb1468ea9afd?v=19486dd60c0c805c8e0c000ce8c87acf\n* Sign-up for [APIFY.com](https://www.apify.com?fpr=414q6) API Key for web search and scraping services.\n* Ensure you have access to OpenAI's o3-mini model. Alternatively, switch this out for o1 series.\n* You must publish this workflow and ensure the form url is publically accessible.\n\n### On Depth & Breadth Configuration\nFor more detailed reports, increase depth and breadth but be warned the workflow will take a exponentially more time and money to complete. The defaults are usually good enough.\n\nDepth=1 & Breadth=2 - will take about 10 - 15mins.\nDepth=1 & Breadth=4 - will take about 30 - 40mins.\nDpeth=3 & Breadth=5 - will take about 2 - 5 hours!\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!"
+},
+"typeVersion": 1
+},
+{
+"id": "ac6f2604-7439-4524-a27e-2f031ebce089",
+"name": "Sticky Note17",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-2420,
+-1180
+],
+"parameters": {
+"color": 7,
+"width": 520,
+"height": 240,
+"content": ""
+},
+"typeVersion": 1
+},
+{
+"id": "40e3a0cf-7710-4537-b147-37ba8945fdbc",
+"name": "Sticky Note18",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-120,
+960
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
+},
+"typeVersion": 1
+},
+{
+"id": "5a96ecc2-eeea-4c33-b299-7a7f2ca7559c",
+"name": "Sticky Note19",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+520,
+960
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE APIFY CREDENTIAL HERE!"
+},
+"typeVersion": 1
+},
+{
+"id": "23bca6e2-e16a-48a4-a7fc-96ce25846764",
+"name": "Sticky Note20",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1640,
+1740
+],
+"parameters": {
+"width": 180,
+"height": 260,
+"content": "\n\n\n\n\n\n\n\n\n\n\n\n### UPDATE NOTION CREDENTIAL HERE!"
+},
+"typeVersion": 1
+}
+],
+"pinData": {},
+"connections": {
+"Item Ref": {
+"main": [
+[
+{
+"node": "Web Search",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Create Row": {
+"main": [
+[
+{
+"node": "Initiate DeepResearch",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Web Search": {
+"main": [
+[
+{
+"node": "Top 5 Organic Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Valid Pages": {
+"main": [
+[
+{
+"node": "Has Content?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Confirmation": {
+"main": [
+[
+{
+"node": "End Form",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Has Content?": {
+"main": [
+[
+{
+"node": "Convert to Markdown",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Empty Response",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Has Results?": {
+"main": [
+[
+{
+"node": "URLs to Items",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Empty Response",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Valid Blocks": {
+"main": [
+[
+{
+"node": "Append Blocks",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Append Blocks": {
+"main": [
+[
+{
+"node": "For Each Block...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"HTML to Array": {
+"main": [
+[
+{
+"node": "Tags to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Page Contents": {
+"main": [
+[
+{
+"node": "Valid Pages",
+"type": "main",
+"index": 0
+}
+],
+[]
+]
+},
+"SERP to Items": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Variables": {
+"main": [
+[
+{
+"node": "Clarifying Questions",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Tags to Items": {
+"main": [
+[
+{
+"node": "Notion Block Generator",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"URLs to Items": {
+"main": [
+[
+{
+"node": "Page Contents",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Empty Response": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Execution Data": {
+"main": [
+[
+{
+"node": "JobType Router",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"JobType Router": {
+"main": [
+[
+{
+"node": "Get Existing Row",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Generate SERP Queries",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Get Existing Row1",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Convert to HTML": {
+"main": [
+[
+{
+"node": "HTML to Array",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set In-Progress": {
+"main": [
+[
+{
+"node": "Set Initial Query",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Existing Row": {
+"main": [
+[
+{
+"node": "Set In-Progress",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Research Request": {
+"main": [
+[
+{
+"node": "Set Variables",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Results to Items": {
+"main": [
+[
+{
+"node": "Set Next Queries",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Next Queries": {
+"main": [
+[
+{
+"node": "Generate Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Feedback to Items": {
+"main": [
+[
+{
+"node": "For Each Question...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Block...": {
+"main": [
+[
+{
+"node": "Set Done",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Upload to Notion Page",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Query...": {
+"main": [
+[
+{
+"node": "Combine & Send back to Loop",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Item Ref",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Existing Row1": {
+"main": [
+[
+{
+"node": "DeepResearch Report",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Initial Query": {
+"main": [
+[
+{
+"node": "Report Page Generator",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Is Depth Reached?": {
+"main": [
+[
+{
+"node": "Get Research Results",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "DeepResearch Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model": {
+"ai_languageModel": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Parse JSON blocks": {
+"main": [
+[
+{
+"node": "Valid Blocks",
+"type": "main",
+"index": 0
+},
+{
+"node": "URL Sources to Lists",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Set Initial Query": {
+"main": [
+[
+{
+"node": "Generate Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Accumulate Results": {
+"main": [
+[
+{
+"node": "Is Depth Reached?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Generate Learnings": {
+"main": [
+[
+{
+"node": "Accumulate Results",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"On form submission": {
+"main": [
+[
+{
+"node": "Research Request",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model1": {
+"ai_languageModel": [
+[
+{
+"node": "DeepResearch Report",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model2": {
+"ai_languageModel": [
+[
+{
+"node": "Clarifying Questions",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model3": {
+"ai_languageModel": [
+[
+{
+"node": "Generate SERP Queries",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"OpenAI Chat Model4": {
+"ai_languageModel": [
+[
+{
+"node": "Report Page Generator",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Convert to Markdown": {
+"main": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Report": {
+"main": [
+[
+{
+"node": "Convert to HTML",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Clarifying Questions": {
+"main": [
+[
+{
+"node": "Feedback to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Results": {
+"main": [
+[
+{
+"node": "Results to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"For Each Question...": {
+"main": [
+[
+{
+"node": "Get Initial Query",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Ask Clarity Questions",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Research Results": {
+"main": [
+[
+{
+"node": "Generate Report",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"URL Sources to Lists": {
+"main": [
+[
+{
+"node": "Append Blocks",
+"type": "main",
+"index": 1
+}
+]
+]
+},
+"Ask Clarity Questions": {
+"main": [
+[
+{
+"node": "For Each Question...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Generate SERP Queries": {
+"main": [
+[
+{
+"node": "SERP to Items",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Initiate DeepResearch": {
+"main": [
+[
+{
+"node": "Confirmation",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Report Page Generator": {
+"main": [
+[
+{
+"node": "Create Row",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Top 5 Organic Results": {
+"main": [
+[
+{
+"node": "Has Results?",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Upload to Notion Page": {
+"main": [
+[
+{
+"node": "For Each Block...",
+"type": "main",
+"index": 0
+}
+],
+[]
+]
+},
+"DeepResearch Learnings": {
+"main": [
+[
+{
+"node": "Research Goal + Learnings",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Notion Block Generator": {
+"main": [
+[
+{
+"node": "Parse JSON blocks",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"DeepResearch Subworkflow": {
+"main": [
+[
+{
+"node": "Execution Data",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Google Gemini Chat Model": {
+"ai_languageModel": [
+[
+{
+"node": "Notion Block Generator",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser": {
+"ai_outputParser": [
+[
+{
+"node": "DeepResearch Learnings",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Research Goal + Learnings": {
+"main": [
+[
+{
+"node": "For Each Query...",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser1": {
+"ai_outputParser": [
+[
+{
+"node": "Clarifying Questions",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser2": {
+"ai_outputParser": [
+[
+{
+"node": "Generate SERP Queries",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+},
+"Structured Output Parser4": {
+"ai_outputParser": [
+[
+{
+"node": "Report Page Generator",
+"type": "ai_outputParser",
+"index": 0
+}
+]
+]
+}
+}
+}
\ No newline at end of file
diff --git a/IT Ops AI SlackBot Workflow - Chat with your knowledge base.txt b/IT Ops AI SlackBot Workflow - Chat with your knowledge base.txt
new file mode 100644
index 0000000..6d32376
--- /dev/null
+++ b/IT Ops AI SlackBot Workflow - Chat with your knowledge base.txt
@@ -0,0 +1,513 @@
+{
+"meta": {
+"instanceId": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7"
+},
+"nodes": [
+{
+"id": "96ef3bfe-a493-4377-b090-6b2d02d87480",
+"name": "Verify Webhook",
+"type": "n8n-nodes-base.respondToWebhook",
+"position": [
+1420,
+800
+],
+"parameters": {
+"options": {
+"responseCode": 200,
+"responseHeaders": {
+"entries": [
+{
+"name": "Content-type",
+"value": "application/json"
+}
+]
+}
+},
+"respondWith": "json",
+"responseBody": "={\"challenge\":\"{{ $json.body.challenge }}\"}"
+},
+"typeVersion": 1
+},
+{
+"id": "38db6da6-13bf-47a1-b5cb-f06403b309ac",
+"name": "OpenAI Chat Model",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+2120,
+1220
+],
+"parameters": {
+"model": "gpt-4o",
+"options": {}
+},
+"credentials": {
+"openAiApi": {
+"id": "QpFZ2EiM3WGl6Zr3",
+"name": "Marketing OpenAI"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "139b606d-29ae-480d-bde7-458ef45dba01",
+"name": "No Operation, do nothing",
+"type": "n8n-nodes-base.noOp",
+"position": [
+1840,
+700
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "64acd4c6-cd53-46e5-a29e-40884044b186",
+"name": "Window Buffer Memory",
+"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
+"position": [
+2800,
+1220
+],
+"parameters": {
+"sessionKey": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}",
+"sessionIdType": "customKey",
+"contextWindowLength": 10
+},
+"typeVersion": 1.2
+},
+{
+"id": "e605864f-198e-4358-8333-50ed962d4e50",
+"name": "Check if Bot",
+"type": "n8n-nodes-base.if",
+"position": [
+1640,
+800
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "89ed1b2a-5e42-4196-989d-f7f81df04b6d",
+"operator": {
+"type": "string",
+"operation": "notExists",
+"singleValue": true
+},
+"leftValue": "={{ $json.body.event.user }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2
+},
+{
+"id": "8479c41e-b251-4f32-8daa-421969c4c8b3",
+"name": "Send Initial Message",
+"type": "n8n-nodes-base.slack",
+"position": [
+2140,
+820
+],
+"parameters": {
+"text": "On it! Let me check Confluence to see if there are any relevant links to answer your question. ",
+"select": "channel",
+"channelId": {
+"__rl": true,
+"mode": "id",
+"value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}"
+},
+"otherOptions": {
+"botProfile": {
+"imageValues": {
+"icon_url": "https://avatars.slack-edge.com/2024-08-30/7671440019297_d6ce97ff3ab5a3abf9c1_72.jpg",
+"profilePhotoType": "image"
+}
+},
+"includeLinkToWorkflow": false
+}
+},
+"credentials": {
+"slackApi": {
+"id": "OfRxDxHFIqk1q44a",
+"name": "helphub n8n labs auth"
+}
+},
+"typeVersion": 2.1
+},
+{
+"id": "dcd325b1-1ee8-4133-9a6e-8b37bf20d056",
+"name": "Delete Initial Message",
+"type": "n8n-nodes-base.slack",
+"position": [
+2960,
+760
+],
+"parameters": {
+"select": "channel",
+"channelId": {
+"__rl": true,
+"mode": "id",
+"value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}"
+},
+"operation": "delete",
+"timestamp": "={{ $('Send Initial Message').item.json[\"message_timestamp\"] }}"
+},
+"credentials": {
+"slackApi": {
+"id": "OfRxDxHFIqk1q44a",
+"name": "helphub n8n labs auth"
+}
+},
+"typeVersion": 2.1
+},
+{
+"id": "8d3ac15c-b0bc-459c-9523-685b7f498efb",
+"name": "Send Message",
+"type": "n8n-nodes-base.slack",
+"position": [
+3160,
+760
+],
+"parameters": {
+"text": "={{ $('AI Agent').item.json.output.replace(/\\[(.+?)\\]\\((.+?)\\)/g, '<$2|$1>').replace(/\\*\\*(.+?)\\*\\*/g, '*$1*') }}",
+"select": "channel",
+"channelId": {
+"__rl": true,
+"mode": "id",
+"value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}"
+},
+"otherOptions": {
+"botProfile": {
+"imageValues": {
+"icon_url": "https://avatars.slack-edge.com/2024-08-30/7671440019297_d6ce97ff3ab5a3abf9c1_72.jpg",
+"profilePhotoType": "image"
+}
+},
+"includeLinkToWorkflow": false
+}
+},
+"credentials": {
+"slackApi": {
+"id": "OfRxDxHFIqk1q44a",
+"name": "helphub n8n labs auth"
+}
+},
+"typeVersion": 2.1
+},
+{
+"id": "02afa6b3-c528-4925-8b92-7b708b10e7ca",
+"name": "Sticky Note",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1160,
+460
+],
+"parameters": {
+"color": 7,
+"width": 414.5626477541374,
+"height": 516.5011820330969,
+"content": "\n## Webhook Trigger\nThe first node receives all messages from Slack API via Subscription Events API. You can find more information about setting up the subscription events API by [clicking here](https://api.slack.com/apis/connections/events-api). The second node responds to the periodic security challenges that Slack sends to ensure the N8n webhook is still active. "
+},
+"typeVersion": 1
+},
+{
+"id": "a8caa088-80dd-44a8-8c61-7a03a37de386",
+"name": "Sticky Note1",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1600,
+460
+],
+"parameters": {
+"color": 7,
+"width": 403.49881796690335,
+"height": 517.6832151300242,
+"content": "\n## Check for Bot Responses\nIf the message received is from a Bot instead of a real user, it will ignore the message."
+},
+"typeVersion": 1
+},
+{
+"id": "17b51014-4f9d-4650-963b-8d8d944869ea",
+"name": "Sticky Note2",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2900,
+460
+],
+"parameters": {
+"color": 7,
+"width": 430.54373522458616,
+"height": 451.3947990543734,
+"content": "\n## Delete Receipt and Send Response \nOnce the AI response is generated in response to the slack message, n8n delete's it's original *Message Received* message to avoid cluttering up the user's DMs, and then sends the final Slack message back to the user. "
+},
+"typeVersion": 1
+},
+{
+"id": "494a9ada-18e9-48a6-86a9-5e72cc797ddf",
+"name": "Sticky Note3",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2394.7517730496443,
+460
+],
+"parameters": {
+"color": 7,
+"width": 488.1796690307332,
+"height": 723.5460992907797,
+"content": "\n## Parse Response with AI Model \nThis workflow currently uses OpenAI to power it's responses, but you can open the AI Agent node below and set your own AI LLM using the n8n options offered. "
+},
+"typeVersion": 1
+},
+{
+"id": "31bc923f-c981-45fd-827d-cede2ec3f3c3",
+"name": "Sticky Note4",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2020,
+460
+],
+"parameters": {
+"color": 7,
+"width": 356.5484633569741,
+"height": 516.5011820330968,
+"content": "\n## Response Received\nOnce N8n sees that the messaged received is from a user, it will respond right away to acknowledge a message was received. You can edit the message by opening the node below. "
+},
+"typeVersion": 1
+},
+{
+"id": "e81d6b07-9ac0-4848-ab7f-57a588103ce5",
+"name": "Sticky Note5",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2980,
+1200
+],
+"parameters": {
+"color": 7,
+"width": 951.1571908442271,
+"height": 467.66775526888296,
+"content": "\n## Build n8n workflow to query Knowledge Base\nBuilding your own tools for an AI Agent to use is simple and straightforward, but requires that you build a second workflow and then connect it to this one by inputting the workflow ID from the workflow URL in the *Custom n8n KB Tool* sub node. \n\nThis gives you the freedom to work with any tool, whether n8n has support for it or not. In this sample build, we have connected the AI agent to Confluence, which does not have a native built in n8n node. For this we use the HTTP request node and pointed it to Confluence's search api. It then returns a response that the AI agent uses to generate a final slack message response to the user. "
+},
+"typeVersion": 1
+},
+{
+"id": "890aeb96-1721-4cb4-a609-5409b30d5f6c",
+"name": "Sticky Note6",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2320,
+1200
+],
+"parameters": {
+"color": 7,
+"width": 644.582152697438,
+"height": 318.6662788502134,
+"content": "\n\n## Remembers the last 5 messages that a user sent\nBecause we are passing the channel ID of the user to the memory module, n8n is storing the last 5 slack messages sent to it per slack channel. This means that it will remember all your users conversations separately from one another and not get confused by different requests from different users. You can increase the memory storage by using a different storage medium and increase the number of prompts and responses it should remember. "
+},
+"typeVersion": 1
+},
+{
+"id": "1fa61c12-70d1-4d7e-8564-a2a574804243",
+"name": "Sticky Note7",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1660,
+1200
+],
+"parameters": {
+"color": 7,
+"width": 644.582152697438,
+"height": 318.6662788502134,
+"content": "\n\n## Change the AI Agents LLM\nTo change the model used, simply delete the ChatGPT model and replace with a different supported model by hitting the plus sign under model in the AI Agent."
+},
+"typeVersion": 1
+},
+{
+"id": "fecd81da-4723-4886-8d6f-9729623028a9",
+"name": "Sticky Note8",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+460,
+460
+],
+"parameters": {
+"width": 675.1724774900403,
+"height": 994.2389415638766,
+"content": "\n# Streamline IT Inquiries with n8n & AI!\n\n## Introducing the IT Ops AI SlackBot Workflow---a sophisticated solution designed to automate and optimize the management of IT-related inquiries via Slack.\n\nWhen an employee messages the IT department slack app, the workflow kicks off with the \"Receive DMs\" node, which captures incoming messages and ensures a secure and active communication line by responding to Slack's webhook challenges.\n\n**How It Works:**\n\n- Verify Webhook: Responds to slacks challenge and respond requests to ensure is still active.\n- Check if bot: Checks whether the message sender is a bot to prevent unnecessary processing.\n- Send Initial Message: Sends a quick confirmation, like \"On it!\", to let the user know their query is being handled.\n- AI-Driven Responses: Employs the \"AI Agent\" node with OpenAI to craft relevant replies based on the conversation history maintained by the \"Window Buffer Memory\" node.\n- Knowledge Integration tool: Uses a custom Knowledge Base tool to fetch pertinent information from confluence, enhancing the quality of responses.\n- Cleanup and Reply: Deletes the initial acknowledgment to tidy up before sending the final detailed response back to the user.\n\n\n**Get Started:**\n- Ensure your [Slack](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.slack/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=n8n-nodes-base.slack) and [OpenAI](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=@n8n/n8n-nodes-langchain.lmChatOpenAi) integrations are properly set up.\n- Customize the workflow to align with your IT department's protocols.\n\n\n**Need Help?**\n- Join the discussion on our Forum or check out resources on Discord!\n\n\nDeploy this workflow to improve response times and enhance the efficiency of your IT support services."
+},
+"typeVersion": 1
+},
+{
+"id": "16b79887-8218-4056-8add-39ebee6166bd",
+"name": "Receive DMs",
+"type": "n8n-nodes-base.webhook",
+"position": [
+1200,
+800
+],
+"webhookId": "44c26a10-d54a-46ce-a522-5d83e8a854be",
+"parameters": {
+"path": "44c26a10-d54a-46ce-a522-5d83e8a854be",
+"options": {},
+"httpMethod": "POST",
+"responseMode": "responseNode"
+},
+"typeVersion": 2
+},
+{
+"id": "201b5399-6fff-48ca-81f0-a5cfc02c46d5",
+"name": "Call Confluence Workflow Tool",
+"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
+"position": [
+3380,
+1280
+],
+"parameters": {
+"name": "confluence_kb_search",
+"workflowId": {
+"__rl": true,
+"mode": "list",
+"value": "Pxzc65WaCPn2yB5I",
+"cachedResultName": "KB Tool - Confluence KB"
+},
+"description": "Call this tool to search n8n-labs confluence knowledge base. The input should be the user prompt reduced into 1 to 3 keywords to use for a KB search. These words should be words that are most likely to be contained in the text of a KB article that is helpful based on the user prompt. The words should be the only response and they should just be separated by a space."
+},
+"typeVersion": 1.2
+},
+{
+"id": "41026e03-5844-4e57-86bf-fc7e586265a4",
+"name": "AI Agent",
+"type": "@n8n/n8n-nodes-langchain.agent",
+"position": [
+2500,
+820
+],
+"parameters": {
+"text": "={{ $('Receive DMs').item.json.body.event.text }}",
+"options": {
+"humanMessage": "TOOLS\n------\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\n\n{tools}\n\nIf no response is given for a given tool or the response is an error, then do not reference the tool results and instead ask for more context. \n\nThe tools currently search Notion and returns back a list of results. Please try to respond using the most relevant result URL to guide the user to the right answer. \n\nIf you are not sure, let the user know you were unable to find a notion page for them to help, but give them the top results that are relevant to their request.\n\nPlease summarize the results and return all the URLs exactly as you get them from the tool. Please format all links you send in this format: \n This value determines how many sources to explore.\n
\nDear {{ $('Get Form Values').first().json.name }},
\nThanks for requesting an appointment. We will review and get back to you shortly.
\nHere is the summary of the request that was sent:
\n\nName: {{ $('Get Form Values').first().json.name }}
\nEmail: {{ $('Get Form Values').first().json.email }}
\nEnquiry: {{ $('Get Form Values').first().json.enquiry }}
\nSubmitted at: {{ $('Get Form Values').first().json.submittedAt }}\n
A new appointment request was submitted!
\n\nRequesting appointment date is {{ DateTime.fromISO($('Execute Workflow Trigger').item.json.dateTime).format('EEE, dd MMM @ t') }}.\n
\n\nName: {{ $('Execute Workflow Trigger').first().json.name }}
\nEmail: {{ $('Execute Workflow Trigger').first().json.email }}
\nEnquiry Summary: {{ $json.text }}
\nSubmitted at: {{ $('Execute Workflow Trigger').first().json.submittedAt }}\n
Dear {{ $('Execute Workflow Trigger').first().json.name }},
\nUnfortunately, we cannot schedule the requested appointment at the requested time.
\nKind regards
\n", +"options": {}, +"subject": "=Appointment Request Rejected for {{ DateTime.fromISO($('Execute Workflow Trigger').first().json.dateTime).format('EEE, dd MMM @ t') }}" +}, +"credentials": { +"gmailOAuth2": { +"id": "Sf5Gfl9NiFTNXFWb", +"name": "Gmail account" +} +}, +"typeVersion": 2.1 +}, +{ +"id": "40785eca-943c-45f6-b4a9-0c95538621ed", +"name": "Sticky Note3", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-2580, +-555.2889298043726 +], +"parameters": { +"color": 7, +"width": 763.0427617951669, +"height": 611.898918296892, +"content": "## 1. Qualify Enquiries Using AI\n[Learn more about the text classifier](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/)\n\nWith n8n's multi-forms, you’re no longer stuck creating long, overwhelming forms. Instead, you have more flexibility and control to design smarter, more engaging form experiences.\n\nIn this demo, we’ll explore an appointment request scenario where a user wants to schedule a call to discuss their inquiry. However, not all inquiries require a meeting, making it a perfect use case for AI to pre-qualify the request. We can handle this validation using the text classifier node." +}, +"typeVersion": 1 +}, +{ +"id": "985be8d1-e77a-475b-9ac2-dba163dbd950", +"name": "Sticky Note6", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-1800, +-549.8684464902185 +], +"parameters": { +"color": 7, +"width": 781.472405063291, +"height": 606.0718987341766, +"content": "## 2. Split Form For Better User Experience\n[Learn more about the forms](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form)\n\nOnboarding is a great reason to split your big form into smaller ones. Taking the user through a step by step process ensures a smooth experience and keeps them engaged throughout.\n\nHere, we take the opportunity of the extra context space to display a terms and conditions which the user must agree to making their request. The next form then asks for desired date and time of the event." +}, +"typeVersion": 1 +}, +{ +"id": "9b0a3f0e-e15d-4d0e-b620-1acc78bf812c", +"name": "Decline", +"type": "n8n-nodes-base.form", +"position": [ +-2020, +-160 +], +"webhookId": "4353eadb-b7a0-45f2-8dd8-5f6cd882d8d8", +"parameters": { +"options": {}, +"operation": "completion", +"completionTitle": "Send me a DM Instead!", +"completionMessage": "Thanks for your enquiry but it may not necessarily need an appointment. Please feel free to email me instead at jim@example.com." +}, +"typeVersion": 1 +}, +{ +"id": "fcd3eb7d-6389-4c07-97cc-275ae387c963", +"name": "Decline1", +"type": "n8n-nodes-base.form", +"position": [ +-1260, +-160 +], +"webhookId": "4353eadb-b7a0-45f2-8dd8-5f6cd882d8d8", +"parameters": { +"options": {}, +"operation": "completion", +"completionTitle": "Send me a DM Instead!", +"completionMessage": "Thanks for your enquiry but it may not necessarily need an appointment. Please feel free to email me instead at jim@example.com." +}, +"typeVersion": 1 +}, +{ +"id": "d89427cb-fffb-4aa4-b55c-b315fa0e92be", +"name": "Sticky Note7", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-1000, +-498.80432681242814 +], +"parameters": { +"color": 7, +"width": 792.9401150747982, +"height": 497.4250863060987, +"content": "## 3. Send Acknowledgement to User and Start Approval Process\n[Learn more about the Gmail node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)\n\nOnce all form steps are concluded, we can send a notification to the requester via email and in the background, trigger another email to the admin to initiate the approval process. The approval process works in a separate execution so doesn't interrupt the user's form experience." +}, +"typeVersion": 1 +}, +{ +"id": "041081e1-ee98-4b40-aa14-1980b23f4031", +"name": "Sticky Note8", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-160, +-620 +], +"parameters": { +"color": 7, +"width": 609.4228768699652, +"height": 287.178089758343, +"content": "## 4. Approve or Decline Appointment\n[Learn more about the Waiting for Approval](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/message-operations/#send-a-message-and-wait-for-approval)\n\nThe Wait for Approval feature for Gmail is a special operation which allows for human-in-the-loop interaction in n8n workflows. In this example, the human interaction is the approval of the appointment request. The feature will put the workflow in a waiting state where a message is sent to the admin with 2 buttons: confirm and decline.\n\nWhen the admin clicks on the confirm button, the workflow resumes from the Gmail node and a meeting event is created for the requesting user in Google Calendar.\n\nWhen declined, a rejection email is sent to the requester instead." +}, +"typeVersion": 1 +}, +{ +"id": "d6af0f50-234f-46ca-aa41-7f3891aff8a3", +"name": "Trigger Approval Process", +"type": "n8n-nodes-base.executeWorkflow", +"position": [ +-740, +-260 +], +"parameters": { +"mode": "each", +"options": { +"waitForSubWorkflow": false +}, +"workflowId": { +"__rl": true, +"mode": "id", +"value": "={{ $workflow.id }}" +} +}, +"typeVersion": 1.1 +}, +{ +"id": "e524d6df-9b6d-4d61-8e71-08a0d3a751d7", +"name": "Execute Workflow Trigger", +"type": "n8n-nodes-base.executeWorkflowTrigger", +"position": [ +-160, +-260 +], +"parameters": {}, +"typeVersion": 1 +}, +{ +"id": "74dccbc1-7728-4336-a18a-2541007fd369", +"name": "Summarise Enquiry", +"type": "@n8n/n8n-nodes-langchain.chainLlm", +"position": [ +0, +-260 +], +"parameters": { +"text": "=The enquiry is as follows:\n{{ $('Execute Workflow Trigger').first().json.enquiry.substring(0, 500) }}", +"messages": { +"messageValues": [ +{ +"message": "Summarise the given enquiry" +} +] +}, +"promptType": "define" +}, +"typeVersion": 1.5 +}, +{ +"id": "b74f0f5a-39f0-4db3-beba-03caf981c5d2", +"name": "Sticky Note9", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-3080, +-640 +], +"parameters": { +"width": 468.6766398158801, +"height": 690.6653164556957, +"content": "## Try it out!\n\n### This n8n template is a simple appointment scheduling workflow using n8n forms with AI thrown in the mix for good measure. It also uses n8n's wait for approval feature which allows the ability to confirm appointment requests and create events in Google Calendar.\n\n### How it works\n* We start with a form trigger which asks for the purpose of the appointment.\n* Instantly, we can qualify this by using a text classifier node which uses AI's contextual understanding to ensure the appointment is worthwhile. If not, an alternative is suggested instead.\n* Multi-page forms are then used to set the terms of the appointment and ask the user for a desired date and time.\n* An acknowledgement is sent to the user while an approval by email process is triggered in the background.\n* In a subworkflow, we use Gmail with the wait for approval operation to send an approval form to the admin user who can either confirm or decline the appointment request.\n* When approved, a Google Calendar event is created. When declined, the user is notified via email that the appointment request was declined.\n\n### Need Help?\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\n\nHappy Hacking!\n" +}, +"typeVersion": 1 +}, +{ +"id": "d3c87dfa-d6e5-402a-89e5-6d8f93b824a6", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +299, +-280 +], +"parameters": { +"width": 177.66444188722656, +"height": 257.56869965477557, +"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨 Set your admin email here!" +}, +"typeVersion": 1 +}, +{ +"id": "6351121d-6ebe-432d-b370-13296fd58e1a", +"name": "Enquiry Classifier", +"type": "@n8n/n8n-nodes-langchain.textClassifier", +"position": [ +-2340, +-280 +], +"parameters": { +"options": { +"fallback": "other" +}, +"inputText": "={{ $json.Enquiry }}", +"categories": { +"categories": [ +{ +"category": "relevant enquiry", +"description": "Enquire about AI, automation, digital products and product engineering." +} +] +} +}, +"typeVersion": 1 +} +], +"pinData": {}, +"connections": { +"Send Receipt": { +"main": [ +[ +{ +"node": "Form End", +"type": "main", +"index": 0 +} +] +] +}, +"Has Accepted?": { +"main": [ +[ +{ +"node": "Enter Date & Time", +"type": "main", +"index": 0 +} +], +[ +{ +"node": "Decline1", +"type": "main", +"index": 0 +} +] +] +}, +"Has Approval?": { +"main": [ +[ +{ +"node": "Create Appointment", +"type": "main", +"index": 0 +} +], +[ +{ +"node": "Send Rejection", +"type": "main", +"index": 0 +} +] +] +}, +"Get Form Values": { +"main": [ +[ +{ +"node": "Trigger Approval Process", +"type": "main", +"index": 0 +} +] +] +}, +"n8n Form Trigger": { +"main": [ +[ +{ +"node": "Enquiry Classifier", +"type": "main", +"index": 0 +} +] +] +}, +"Enter Date & Time": { +"main": [ +[ +{ +"node": "Get Form Values", +"type": "main", +"index": 0 +} +] +] +}, +"OpenAI Chat Model": { +"ai_languageModel": [ +[ +{ +"node": "Enquiry Classifier", +"type": "ai_languageModel", +"index": 0 +} +] +] +}, +"Summarise Enquiry": { +"main": [ +[ +{ +"node": "Wait for Approval", +"type": "main", +"index": 0 +} +] +] +}, +"Wait for Approval": { +"main": [ +[ +{ +"node": "Has Approval?", +"type": "main", +"index": 0 +} +] +] +}, +"Enquiry Classifier": { +"main": [ +[ +{ +"node": "Terms & Conditions", +"type": "main", +"index": 0 +} +], +[ +{ +"node": "Decline", +"type": "main", +"index": 0 +} +] +] +}, +"OpenAI Chat Model1": { +"ai_languageModel": [ +[ +{ +"node": "Summarise Enquiry", +"type": "ai_languageModel", +"index": 0 +} +] +] +}, +"Terms & Conditions": { +"main": [ +[ +{ +"node": "Has Accepted?", +"type": "main", +"index": 0 +} +] +] +}, +"Execute Workflow Trigger": { +"main": [ +[ +{ +"node": "Summarise Enquiry", +"type": "main", +"index": 0 +} +] +] +}, +"Trigger Approval Process": { +"main": [ +[ +{ +"node": "Send Receipt", +"type": "main", +"index": 0 +} +] +] +} +} +} \ No newline at end of file diff --git a/Query Perplexity AI from your n8n workflows.txt b/Query Perplexity AI from your n8n workflows.txt new file mode 100644 index 0000000..1dc5e71 --- /dev/null +++ b/Query Perplexity AI from your n8n workflows.txt @@ -0,0 +1,176 @@ +{ +"nodes": [ +{ +"id": "293b70f0-06e8-4db5-befd-bfaed1f3575a", +"name": "When clicking ‘Test workflow’", +"type": "n8n-nodes-base.manualTrigger", +"position": [ +-460, +80 +], +"parameters": {}, +"typeVersion": 1 +}, +{ +"id": "1c473546-6280-412d-9f8e-b43962365d78", +"name": "Set Params", +"type": "n8n-nodes-base.set", +"position": [ +-160, +-60 +], +"parameters": { +"options": {}, +"assignments": { +"assignments": [ +{ +"id": "8b5c6ca0-5ca8-4f67-abc1-44341cf419bc", +"name": "system_prompt", +"type": "string", +"value": "You are an n8n fanboy." +}, +{ +"id": "7c36c362-6269-4564-b6fe-f82126bc8f5e", +"name": "user_prompt", +"type": "string", +"value": "What are the differences between n8n and Make?" +}, +{ +"id": "4366d2b5-ad22-445a-8589-fddab1caa1ab", +"name": "domains", +"type": "string", +"value": "n8n.io, make.com" +} +] +} +}, +"typeVersion": 3.4 +}, +{ +"id": "894bd6a4-5db7-45fb-a8e0-1a81af068bbf", +"name": "Clean Output", +"type": "n8n-nodes-base.set", +"position": [ +580, +-100 +], +"parameters": { +"options": {}, +"assignments": { +"assignments": [ +{ +"id": "5859093c-6b22-41db-ac6c-9a9f6f18b7e3", +"name": "output", +"type": "string", +"value": "={{ $json.choices[0].message.content }}" +}, +{ +"id": "13208fff-5153-45a7-a1cb-fe49e32d9a03", +"name": "citations", +"type": "array", +"value": "={{ $json.citations }}" +} +] +} +}, +"typeVersion": 3.4 +}, +{ +"id": "52d3a832-8c9b-4356-ad2a-377340678a58", +"name": "Perplexity Request", +"type": "n8n-nodes-base.httpRequest", +"position": [ +240, +40 +], +"parameters": { +"url": "https://api.perplexity.ai/chat/completions", +"method": "POST", +"options": {}, +"jsonBody": "={\n \"model\": \"sonar\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"{{ $json.system_prompt }}\"\n },\n {\n \"role\": \"user\",\n \"content\": \"{{ $json.user_prompt }}\"\n }\n ],\n \"temperature\": 0.2,\n \"top_p\": 0.9,\n \"search_domain_filter\": {{ (JSON.stringify($json.domains.split(','))) }},\n \"return_images\": false,\n \"return_related_questions\": false,\n \"search_recency_filter\": \"month\",\n \"top_k\": 0,\n \"stream\": false,\n \"presence_penalty\": 0,\n \"frequency_penalty\": 1,\n \"response_format\": null\n}", +"sendBody": true, +"specifyBody": "json", +"authentication": "genericCredentialType", +"genericAuthType": "httpHeaderAuth" +}, +"credentials": { +"httpBasicAuth": { +"id": "yEocL0NSpUWzMsHG", +"name": "Perplexity" +}, +"httpHeaderAuth": { +"id": "TngzgS09J1YvLIXl", +"name": "Perplexity" +} +}, +"typeVersion": 4.2 +}, +{ +"id": "48657f2c-d1dd-4d7e-8014-c27748e63e58", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-140, +-440 +], +"parameters": { +"width": 480, +"height": 300, +"content": "## Credentials Setup\n\n1/ Go to the perplexity dashboard, purchase some credits and create an API Key\n\nhttps://www.perplexity.ai/settings/api\n\n2/ In the perplexity Request node, use Generic Credentials, Header Auth. \n\nFor the name, use the value \"Authorization\"\nAnd for the value \"Bearer pplx-e4...59ea\" (Your Perplexity Api Key)\n\n" +}, +"typeVersion": 1 +}, +{ +"id": "e0daabee-c145-469e-93c2-c759c303dc2a", +"name": "Sticky Note1", +"type": "n8n-nodes-base.stickyNote", +"position": [ +100, +260 +], +"parameters": { +"color": 5, +"width": 480, +"height": 120, +"content": "**Sonar Pro** is the current top model used by perplexity. \nIf you want to use a different one, check this page: \n\nhttps://docs.perplexity.ai/guides/model-cards" +}, +"typeVersion": 1 +} +], +"pinData": {}, +"connections": { +"Set Params": { +"main": [ +[ +{ +"node": "Perplexity Request", +"type": "main", +"index": 0 +} +] +] +}, +"Perplexity Request": { +"main": [ +[ +{ +"node": "Clean Output", +"type": "main", +"index": 0 +} +] +] +}, +"When clicking ‘Test workflow’": { +"main": [ +[ +{ +"node": "Set Params", +"type": "main", +"index": 0 +} +] +] +} +} +} \ No newline at end of file diff --git a/Query n8n Credentials with AI SQL Agent.txt b/Query n8n Credentials with AI SQL Agent.txt new file mode 100644 index 0000000..c37c42e --- /dev/null +++ b/Query n8n Credentials with AI SQL Agent.txt @@ -0,0 +1,302 @@ +{ +"meta": { +"instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e" +}, +"nodes": [ +{ +"id": "382dddd4-da50-49fa-90a2-f7d6d160afdf", +"name": "When clicking \"Test workflow\"", +"type": "n8n-nodes-base.manualTrigger", +"position": [ +920, +280 +], +"parameters": {}, +"typeVersion": 1 +}, +{ +"id": "efa8f415-62f7-43b3-a76a-a2eabf779cb8", +"name": "Map Workflows & Credentials", +"type": "n8n-nodes-base.set", +"position": [ +1360, +280 +], +"parameters": { +"options": {}, +"assignments": { +"assignments": [ +{ +"id": "0fd19a68-c561-4cc2-94d6-39848977e6d2", +"name": "workflow_id", +"type": "string", +"value": "={{ $json.id }}" +}, +{ +"id": "a81f9e6f-9c78-4c3d-9b79-e820f8c5ba29", +"name": "workflow_name", +"type": "string", +"value": "={{ $json.name }}" +}, +{ +"id": "58ab0f2f-7598-48de-bea1-f3373c5731fe", +"name": "credentials", +"type": "array", +"value": "={{ $json.nodes.map(node => node.credentials).compact().reduce((acc,cred) => { const keys = Object.keys(cred); const items = keys.map(key => ({ type: key, ...cred[key] })); acc.push(...items); return acc; }, []) }}" +} +] +} +}, +"typeVersion": 3.3 +}, +{ +"id": "9e9b4f9c-12b7-47ba-8cf4-a9818902a538", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +1084, +252 +], +"parameters": { +"width": 216, +"height": 299.56273929030715, +"content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨Required\nYou'll need an n8n API key. Note: available workflows will be scoped to your key." +}, +"typeVersion": 1 +}, +{ +"id": "cf04eff5-12b2-42fb-9089-2d0c992af1b8", +"name": "Save to Database", +"type": "n8n-nodes-base.code", +"position": [ +1540, +280 +], +"parameters": { +"language": "python", +"pythonCode": "import json\nimport sqlite3\ncon = sqlite3.connect(\"n8n_workflow_credentials.db\")\n\ncur = con.cursor()\ncur.execute(\"CREATE TABLE IF NOT EXISTS n8n_workflow_credentials (workflow_id TEXT PRIMARY KEY, workflow_name TEXT, credentials TEXT);\")\n\nfor item in _input.all():\n cur.execute('INSERT OR REPLACE INTO n8n_workflow_credentials VALUES(?,?,?)', (\n item.json.workflow_id,\n item.json.workflow_name,\n json.dumps(item.json.credentials.to_py())\n ))\n\ncon.commit()\ncon.close()\n\nreturn [{ \"affected_rows\": len(_input.all()) }]" +}, +"typeVersion": 2 +}, +{ +"id": "7e32cf83-0498-4666-8677-7fd32eec779c", +"name": "Chat Trigger", +"type": "@n8n/n8n-nodes-langchain.chatTrigger", +"position": [ +1880, +280 +], +"webhookId": "993ce267-a1e5-4657-a38c-08f86715063d", +"parameters": {}, +"typeVersion": 1 +}, +{ +"id": "8c37f2ae-192b-4f98-a6fa-5aabf870e9e0", +"name": "Query Workflow Credentials Database", +"type": "@n8n/n8n-nodes-langchain.toolCode", +"position": [ +2320, +440 +], +"parameters": { +"name": "query_workflow_credentials_database", +"language": "python", +"pythonCode": "import json\nimport sqlite3\ncon = sqlite3.connect(\"n8n_workflow_credentials.db\")\n\ncur = con.cursor()\nres = cur.execute(query);\n\noutput = json.dumps(res.fetchall())\n\ncon.close()\nreturn output;", +"description": "Call this tool to query the workflow credentials database. The database is already set. The available tables are as follows:\n* n8n_workflow_credentials (workflow_id TEXT PRIMARY KEY, workflow_name TEXT, credentials TEXT);\n * n8n_workflow_credentials.credentials are stored as json string and the app name may be obscured. Prefer querying using the %LIKE% operation for best results.\n\nPass a SQL SELECT query to this tool for the available tables." +}, +"typeVersion": 1.1 +}, +{ +"id": "60b2ab16-dc7c-4cb8-a58f-696f721b8d6f", +"name": "OpenAI Chat Model", +"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", +"position": [ +2060, +440 +], +"parameters": { +"options": {} +}, +"credentials": { +"openAiApi": { +"id": "8gccIjcuf3gvaoEr", +"name": "OpenAi account" +} +}, +"typeVersion": 1 +}, +{ +"id": "adf576c1-ddb0-4fef-980c-5b485a3204f2", +"name": "Window Buffer Memory", +"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", +"position": [ +2180, +440 +], +"parameters": {}, +"typeVersion": 1.2 +}, +{ +"id": "4335b038-3e9f-4173-986d-cabdb87cc0b4", +"name": "Sticky Note1", +"type": "n8n-nodes-base.stickyNote", +"position": [ +860, +100 +], +"parameters": { +"color": 7, +"width": 930.8402221561373, +"height": 488.8805508857059, +"content": "## Step 1. Store Workflows Credential Mappings to Database\n\nWe'll achieve this by querying n8n's built-in API to query all workflows, extract the credentials list from the nodes within and then store them in a SQLite database. Don't worry, the actual credential data won't be exposed! For the database, we'll abuse the fact that the code node is able to create Sqlite databases - however, this is created in memory and will be wiped if the n8n instance is restarted." +}, +"typeVersion": 1 +}, +{ +"id": "c1f557ee-1176-4f3e-8431-d162f1a59990", +"name": "Sticky Note2", +"type": "n8n-nodes-base.stickyNote", +"position": [ +1820, +100 +], +"parameters": { +"color": 7, +"width": 688.6507290693205, +"height": 527.3794193342486, +"content": "## Step 2. Use Agent as Search Interface\n\nInstead of building a form interface like a regular person, we'll just use an AI tools agent who is given aaccess to perform queries on our database. You can ask it things like \"which workflows are using slack + airtable + googlesheets?\"" +}, +"typeVersion": 1 +}, +{ +"id": "9bdc3fa9-d4a0-4040-bb32-6c76aaca3ad9", +"name": "Workflow Credentials Helper Agent", +"type": "@n8n/n8n-nodes-langchain.agent", +"position": [ +2080, +280 +], +"parameters": { +"options": { +"systemMessage": "=You help find information on n8n workflow credentials. When user mentions an app, assume they mean the workflow credential for the app.\n* Only if the user requests to provide a link to the workflow, replace $workflow_id with the workflow id in the following url schema: {{ window.location.protocol + '//' + window.location.host }}/workflow/$workflow_id" +} +}, +"typeVersion": 1.6 +}, +{ +"id": "ff39f504-9953-47c9-81eb-3146dfd6c8c5", +"name": "Sticky Note4", +"type": "n8n-nodes-base.stickyNote", +"position": [ +420, +100 +], +"parameters": { +"width": 415.13049730628427, +"height": 347.7398931123371, +"content": "## Try It Out!\n\n### This workflow let's you query workflow credentials using an AI SQL agent. Example use-case could be:\n* \"Which workflows are using Slack and Google Calendar?\"\n* \"Which workflows have AI in their name but are not using openAI?\"\n\n### Run the Steps separately!\n* Step 1 populates a local database\n* Step 2 engages with the chatbot" +}, +"typeVersion": 1 +}, +{ +"id": "3db2116c-abde-4856-bd1e-a15e0275477f", +"name": "n8n", +"type": "n8n-nodes-base.n8n", +"position": [ +1140, +280 +], +"parameters": { +"filters": {}, +"requestOptions": {} +}, +"credentials": { +"n8nApi": { +"id": "5vELmsVPmK4Bkqkg", +"name": "n8n account" +} +}, +"typeVersion": 1 +} +], +"pinData": {}, +"connections": { +"n8n": { +"main": [ +[ +{ +"node": "Map Workflows & Credentials", +"type": "main", +"index": 0 +} +] +] +}, +"Chat Trigger": { +"main": [ +[ +{ +"node": "Workflow Credentials Helper Agent", +"type": "main", +"index": 0 +} +] +] +}, +"OpenAI Chat Model": { +"ai_languageModel": [ +[ +{ +"node": "Workflow Credentials Helper Agent", +"type": "ai_languageModel", +"index": 0 +} +] +] +}, +"Window Buffer Memory": { +"ai_memory": [ +[ +{ +"node": "Workflow Credentials Helper Agent", +"type": "ai_memory", +"index": 0 +} +] +] +}, +"Map Workflows & Credentials": { +"main": [ +[ +{ +"node": "Save to Database", +"type": "main", +"index": 0 +} +] +] +}, +"When clicking \"Test workflow\"": { +"main": [ +[ +{ +"node": "n8n", +"type": "main", +"index": 0 +} +] +] +}, +"Query Workflow Credentials Database": { +"ai_tool": [ +[ +{ +"node": "Workflow Credentials Helper Agent", +"type": "ai_tool", +"index": 0 +} +] +] +} +} +} \ No newline at end of file diff --git a/RAG Chatbot for Company Documents using Google Drive and Gemini.txt b/RAG Chatbot for Company Documents using Google Drive and Gemini.txt new file mode 100644 index 0000000..ddbd7ab --- /dev/null +++ b/RAG Chatbot for Company Documents using Google Drive and Gemini.txt @@ -0,0 +1,525 @@ +{ +"id": "7cXvgkl9170QXzT2", +"meta": { +"instanceId": "69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d", +"templateCredsSetupCompleted": true +}, +"name": "RAG Workflow For Company Documents stored in Google Drive", +"tags": [], +"nodes": [ +{ +"id": "753455a3-ddc8-4a74-b043-70a0af38ff9e", +"name": "Pinecone Vector Store", +"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", +"position": [ +680, +0 +], +"parameters": { +"mode": "insert", +"options": {}, +"pineconeIndex": { +"__rl": true, +"mode": "list", +"value": "company-files", +"cachedResultName": "company-files" +} +}, +"credentials": { +"pineconeApi": { +"id": "bQTNry52ypGLqt47", +"name": "PineconeApi account" +} +}, +"typeVersion": 1 +}, +{ +"id": "a7c8fa7f-cad2-4497-a295-30aa2e98cacc", +"name": "Embeddings Google Gemini", +"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini", +"position": [ +640, +280 +], +"parameters": { +"modelName": "models/text-embedding-004" +}, +"credentials": { +"googlePalmApi": { +"id": "jLOqyTR4yTT1nYKi", +"name": "Google Gemini(PaLM) Api account" +} +}, +"typeVersion": 1 +}, +{ +"id": "215f0519-4359-4e4b-a90c-7e54b1cc52b5", +"name": "Default Data Loader", +"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", +"position": [ +840, +220 +], +"parameters": { +"options": {}, +"dataType": "binary", +"binaryMode": "specificField" +}, +"typeVersion": 1 +}, +{ +"id": "863d3d1d-1621-406e-8320-688f64b07b09", +"name": "Recursive Character Text Splitter", +"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", +"position": [ +820, +420 +], +"parameters": { +"options": {}, +"chunkOverlap": 100 +}, +"typeVersion": 1 +}, +{ +"id": "5af1efb1-ea69-466e-bb3b-2b7e6b1ceef7", +"name": "AI Agent", +"type": "@n8n/n8n-nodes-langchain.agent", +"position": [ +420, +840 +], +"parameters": { +"options": { +"systemMessage": "You are a helpful HR assistant designed to answer employee questions based on company policies.\n\nRetrieve relevant information from the provided internal documents and provide a concise, accurate, and informative answer to the employee's question.\n\nUse the tool called \"company_documents_tool\" to retrieve any information from the company's documents.\n\nIf the answer cannot be found in the provided documents, respond with \"I cannot find the answer in the available resources.\"" +} +}, +"typeVersion": 1.7 +}, +{ +"id": "825632ac-1edf-4e63-948d-b1a498b2b962", +"name": "Vector Store Tool", +"type": "@n8n/n8n-nodes-langchain.toolVectorStore", +"position": [ +820, +1060 +], +"parameters": { +"name": "company_documents_tool", +"description": "Retrieve information from any company documents" +}, +"typeVersion": 1 +}, +{ +"id": "72d2f685-bcc3-4e62-a5e3-72c0fe65f8e8", +"name": "Pinecone Vector Store (Retrieval)", +"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", +"position": [ +720, +1240 +], +"parameters": { +"options": {}, +"pineconeIndex": { +"__rl": true, +"mode": "list", +"value": "company-files", +"cachedResultName": "company-files" +} +}, +"credentials": { +"pineconeApi": { +"id": "bQTNry52ypGLqt47", +"name": "PineconeApi account" +} +}, +"typeVersion": 1 +}, +{ +"id": "eeff81cb-6aec-4e7f-afe0-432d87085fb2", +"name": "Embeddings Google Gemini (retrieval)", +"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini", +"position": [ +700, +1400 +], +"parameters": { +"modelName": "models/text-embedding-004" +}, +"credentials": { +"googlePalmApi": { +"id": "jLOqyTR4yTT1nYKi", +"name": "Google Gemini(PaLM) Api account" +} +}, +"typeVersion": 1 +}, +{ +"id": "8bb6ebb1-1deb-498b-8da4-b809a736e097", +"name": "Download File From Google Drive", +"type": "n8n-nodes-base.googleDrive", +"position": [ +460, +0 +], +"parameters": { +"fileId": { +"__rl": true, +"mode": "id", +"value": "={{ $json.id }}" +}, +"options": { +"fileName": "={{ $json.name }}" +}, +"operation": "download" +}, +"credentials": { +"googleDriveOAuth2Api": { +"id": "uixLsi5TmrfwXPeB", +"name": "Google Drive account" +} +}, +"typeVersion": 3 +}, +{ +"id": "bd83bacf-dff1-4b7c-af5c-b249fb16c113", +"name": "Sticky Note2", +"type": "n8n-nodes-base.stickyNote", +"position": [ +420, +660 +], +"parameters": { +"content": "## Chat with company documents" +}, +"typeVersion": 1 +}, +{ +"id": "7b90daab-0fb2-4c8a-93e6-b138bb04f282", +"name": "Google Drive File Updated", +"type": "n8n-nodes-base.googleDriveTrigger", +"position": [ +140, +140 +], +"parameters": { +"event": "fileUpdated", +"options": {}, +"pollTimes": { +"item": [ +{ +"mode": "everyMinute" +} +] +}, +"triggerOn": "specificFolder", +"folderToWatch": { +"__rl": true, +"mode": "list", +"value": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W", +"cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W", +"cachedResultName": "INNOVI PRO" +} +}, +"credentials": { +"googleDriveOAuth2Api": { +"id": "uixLsi5TmrfwXPeB", +"name": "Google Drive account" +} +}, +"typeVersion": 1 +}, +{ +"id": "3a6c6cef-7a19-42ef-8092-eaf57dae4cdd", +"name": "Google Drive File Created", +"type": "n8n-nodes-base.googleDriveTrigger", +"position": [ +140, +-120 +], +"parameters": { +"event": "fileCreated", +"options": { +"fileType": "all" +}, +"pollTimes": { +"item": [ +{ +"mode": "everyMinute" +} +] +}, +"triggerOn": "specificFolder", +"folderToWatch": { +"__rl": true, +"mode": "list", +"value": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W", +"cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W", +"cachedResultName": "INNOVI PRO" +} +}, +"credentials": { +"googleDriveOAuth2Api": { +"id": "uixLsi5TmrfwXPeB", +"name": "Google Drive account" +} +}, +"typeVersion": 1 +}, +{ +"id": "1e38f1c8-7bd0-4eeb-addc-62339582d350", +"name": "Window Buffer Memory", +"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", +"position": [ +500, +1140 +], +"parameters": {}, +"typeVersion": 1.3 +}, +{ +"id": "4b0ab858-99b1-4337-8c5c-a223519e3662", +"name": "When chat message received", +"type": "@n8n/n8n-nodes-langchain.chatTrigger", +"position": [ +80, +840 +], +"webhookId": "5f1c0c82-0ff9-40c7-9e2e-b1a96ffe24cd", +"parameters": { +"options": {} +}, +"typeVersion": 1.1 +}, +{ +"id": "bfb684d1-e5c1-41da-8305-b2606a2eade6", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +440, +-240 +], +"parameters": { +"width": 320, +"content": "## Add docuemnts to vector store when updating or creating new documents in Google Drive" +}, +"typeVersion": 1 +}, +{ +"id": "8f627ec6-4b3f-43ad-a4a3-e2b199a7fe58", +"name": "Google Gemini Chat Model", +"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", +"position": [ +320, +1140 +], +"parameters": { +"options": {}, +"modelName": "models/gemini-2.0-flash-exp" +}, +"credentials": { +"googlePalmApi": { +"id": "jLOqyTR4yTT1nYKi", +"name": "Google Gemini(PaLM) Api account" +} +}, +"typeVersion": 1 +}, +{ +"id": "f2133a06-0088-46de-9f74-a3f9fe478f98", +"name": "Google Gemini Chat Model (retrieval)", +"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", +"position": [ +1080, +1240 +], +"parameters": { +"options": {}, +"modelName": "models/gemini-2.0-flash-exp" +}, +"credentials": { +"googlePalmApi": { +"id": "jLOqyTR4yTT1nYKi", +"name": "Google Gemini(PaLM) Api account" +} +}, +"typeVersion": 1 +}, +{ +"id": "578deb96-8393-4850-9757-fa97b2bc9992", +"name": "Sticky Note1", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-540, +220 +], +"parameters": { +"width": 420, +"height": 720, +"content": "## Set up steps\n\n1. Google Cloud Project and Vertex AI API:\n* Create a Google Cloud project.\n* Enable the Vertex AI API for your project.\n2. Google AI API Key:\n* Obtain a Google AI API key from Google AI Studio.\n3. Pinecone Account:\n* Create a free account on the Pinecone website.\nObtain your API key from your Pinecone dashboard.\n* Create an index named company-files in your Pinecone project.\n4. Google Drive:\n* Create a dedicated folder in your Google Drive where company documents will be stored.\n5. Credentials in n8n: Configure credentials in your n8n environment for:\n* Google Drive OAuth2\n* Google Gemini(PaLM) Api (using your Google AI API key)\n* Pinecone API (using your Pinecone API key)\n5. Import the Workflow:\n* Import this workflow into your n8n instance.\n6. Configure the Workflow:\n* Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive.\n* Configure the Pinecone Vector Store nodes to use your company-files index." +}, +"typeVersion": 1 +} +], +"active": false, +"pinData": {}, +"settings": { +"executionOrder": "v1" +}, +"versionId": "33b252fb-5d87-4a29-a0a7-97308140699c", +"connections": { +"AI Agent": { +"main": [ +[] +] +}, +"Vector Store Tool": { +"ai_tool": [ +[ +{ +"node": "AI Agent", +"type": "ai_tool", +"index": 0 +} +] +] +}, +"Default Data Loader": { +"ai_document": [ +[ +{ +"node": "Pinecone Vector Store", +"type": "ai_document", +"index": 0 +} +] +] +}, +"Window Buffer Memory": { +"ai_memory": [ +[ +{ +"node": "AI Agent", +"type": "ai_memory", +"index": 0 +} +] +] +}, +"Pinecone Vector Store": { +"main": [ +[] +] +}, +"Embeddings Google Gemini": { +"ai_embedding": [ +[ +{ +"node": "Pinecone Vector Store", +"type": "ai_embedding", +"index": 0 +} +] +] +}, +"Google Gemini Chat Model": { +"ai_languageModel": [ +[ +{ +"node": "AI Agent", +"type": "ai_languageModel", +"index": 0 +} +] +] +}, +"Google Drive File Created": { +"main": [ +[ +{ +"node": "Download File From Google Drive", +"type": "main", +"index": 0 +} +] +] +}, +"Google Drive File Updated": { +"main": [ +[ +{ +"node": "Download File From Google Drive", +"type": "main", +"index": 0 +} +] +] +}, +"When chat message received": { +"main": [ +[ +{ +"node": "AI Agent", +"type": "main", +"index": 0 +} +] +] +}, +"Download File From Google Drive": { +"main": [ +[ +{ +"node": "Pinecone Vector Store", +"type": "main", +"index": 0 +} +] +] +}, +"Pinecone Vector Store (Retrieval)": { +"ai_vectorStore": [ +[ +{ +"node": "Vector Store Tool", +"type": "ai_vectorStore", +"index": 0 +} +] +] +}, +"Recursive Character Text Splitter": { +"ai_textSplitter": [ +[ +{ +"node": "Default Data Loader", +"type": "ai_textSplitter", +"index": 0 +} +] +] +}, +"Embeddings Google Gemini (retrieval)": { +"ai_embedding": [ +[ +{ +"node": "Pinecone Vector Store (Retrieval)", +"type": "ai_embedding", +"index": 0 +} +] +] +}, +"Google Gemini Chat Model (retrieval)": { +"ai_languageModel": [ +[ +{ +"node": "Vector Store Tool", +"type": "ai_languageModel", +"index": 0 +} +] +] +} +} +} \ No newline at end of file diff --git a/RAG_Context-Aware Chunking _ Google Drive to Pinecone via OpenRouter & Gemini.txt b/RAG_Context-Aware Chunking _ Google Drive to Pinecone via OpenRouter & Gemini.txt new file mode 100644 index 0000000..3ed613f --- /dev/null +++ b/RAG_Context-Aware Chunking _ Google Drive to Pinecone via OpenRouter & Gemini.txt @@ -0,0 +1,458 @@ +{ +"id": "VY4WBXuNDPxmOO5e", +"meta": { +"instanceId": "d16fb7d4b3eb9b9d4ad2ee6a7fbae593d73e9715e51f583c2a0e9acd1781c08e", +"templateCredsSetupCompleted": true +}, +"name": "RAG:Context-Aware Chunking | Google Drive to Pinecone via OpenRouter & Gemini", +"tags": [ +{ +"id": "XZIQK6NdzGvgbZFd", +"name": "Sell", +"createdAt": "2025-01-15T12:28:48.424Z", +"updatedAt": "2025-01-15T12:28:48.424Z" +} +], +"nodes": [ +{ +"id": "7abbfa6e-4b17-4656-9b82-377b1bacf539", +"name": "When clicking ‘Test workflow’", +"type": "n8n-nodes-base.manualTrigger", +"position": [ +0, +0 +], +"parameters": {}, +"typeVersion": 1 +}, +{ +"id": "448ec137-bf64-46b4-bf15-c7a040faa306", +"name": "Loop Over Items", +"type": "n8n-nodes-base.splitInBatches", +"position": [ +1100, +0 +], +"parameters": { +"options": {} +}, +"typeVersion": 3 +}, +{ +"id": "f22557ee-7f37-40cd-9063-a9a759274663", +"name": "OpenRouter Chat Model", +"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", +"position": [ +20, +440 +], +"parameters": { +"options": {} +}, +"credentials": { +"openRouterApi": { +"id": "ddH6iNlm09UxrXvu", +"name": "Auto: OpenRouter" +} +}, +"typeVersion": 1 +}, +{ +"id": "57e8792e-25ae-43d5-b4e9-e87642365ee9", +"name": "Pinecone Vector Store", +"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", +"position": [ +780, +360 +], +"parameters": { +"mode": "insert", +"options": {}, +"pineconeIndex": { +"__rl": true, +"mode": "list", +"value": "context-rag-test", +"cachedResultName": "context-rag-test" +} +}, +"credentials": { +"pineconeApi": { +"id": "R3QGXSEIRTEAZttK", +"name": "Auto: PineconeApi" +} +}, +"typeVersion": 1 +}, +{ +"id": "0a8c2426-0aaf-424a-b246-336a9034aba8", +"name": "Embeddings Google Gemini", +"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini", +"position": [ +720, +540 +], +"parameters": { +"modelName": "models/text-embedding-004" +}, +"credentials": { +"googlePalmApi": { +"id": "9idxGZRZ3BAKDoxq", +"name": "Google Gemini(PaLM) Api account" +} +}, +"typeVersion": 1 +}, +{ +"id": "edc587bd-494d-43e8-b6d6-26adab7af3dc", +"name": "Default Data Loader", +"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", +"position": [ +920, +540 +], +"parameters": { +"options": {} +}, +"typeVersion": 1 +}, +{ +"id": "a82d4e0b-248e-426d-9ef3-f25e7078ceb3", +"name": "Recursive Character Text Splitter", +"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", +"position": [ +840, +680 +], +"parameters": { +"options": {}, +"chunkSize": 100000 +}, +"typeVersion": 1 +}, +{ +"id": "8571b92f-5587-454f-9700-ea04ca35311b", +"name": "Get Document From Google Drive", +"type": "n8n-nodes-base.googleDrive", +"position": [ +220, +0 +], +"parameters": { +"fileId": { +"__rl": true, +"mode": "list", +"value": "1gm0jxFTLuiWB5u4esEjzoCPImrVqu0AEMIKBIesTf9M", +"cachedResultUrl": "https://docs.google.com/document/d/1gm0jxFTLuiWB5u4esEjzoCPImrVqu0AEMIKBIesTf9M/edit?usp=drivesdk", +"cachedResultName": "Udit Rawat - Details" +}, +"options": { +"googleFileConversion": { +"conversion": { +"docsToFormat": "text/plain" +} +} +}, +"operation": "download" +}, +"credentials": { +"googleDriveOAuth2Api": { +"id": "SsiQguNA8w3Wwv4w", +"name": "Auto: Google Drive" +} +}, +"typeVersion": 3 +}, +{ +"id": "2bed3d0f-3d65-4394-87f1-e73320a43a4a", +"name": "Extract Text Data From Google Document", +"type": "n8n-nodes-base.extractFromFile", +"position": [ +440, +0 +], +"parameters": { +"options": {}, +"operation": "text" +}, +"typeVersion": 1 +}, +{ +"id": "837fa691-6c66-434b-ba82-d1cad9aecdf7", +"name": "Split Document Text Into Sections", +"type": "n8n-nodes-base.code", +"position": [ +660, +0 +], +"parameters": { +"jsCode": "let split_text = \"—---------------------------—-------------[SECTIONEND]—---------------------------—-------------\";\nfor (const item of $input.all()) {\n item.json.section = item.json.data.split(split_text);\n item.json.document = JSON.stringify(item.json.section)\n}\nreturn $input.all();" +}, +"typeVersion": 2 +}, +{ +"id": "cc801e7e-e01b-421a-9211-08322ef8a0b2", +"name": "Prepare Sections For Looping", +"type": "n8n-nodes-base.splitOut", +"position": [ +880, +0 +], +"parameters": { +"options": {}, +"fieldToSplitOut": "section" +}, +"typeVersion": 1 +}, +{ +"id": "658cb8df-92e3-4b25-8f37-e5f959d913dc", +"name": "Sticky Note", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-40, +-100 +], +"parameters": { +"width": 1300, +"height": 280, +"content": "## Prepare Document. \nThis section is responsible for downloading the file from Google Drive, splitting the text into sections by detecting separators, and preparing them for looping." +}, +"typeVersion": 1 +}, +{ +"id": "82ee9194-484a-46db-b75c-bec34201c7e2", +"name": "Sticky Note1", +"type": "n8n-nodes-base.stickyNote", +"position": [ +-220, +220 +], +"parameters": { +"width": 780, +"height": 360, +"content": "## Prepare context\nIn this section, the \nagent node will prepare \ncontext for a section \n(chunk of text), which \nwill then be passed for \nconversion into a vectors \nalong with the section itself." +}, +"typeVersion": 1 +}, +{ +"id": "2f6950df-ead1-479a-aa51-7768121a4eb2", +"name": "AI Agent - Prepare Context", +"type": "@n8n/n8n-nodes-langchain.agent", +"position": [ +40, +260 +], +"parameters": { +"text": "=\n
\n\n \n \n \n\n \n
\n\n \n \n \n \n
\n \n \n \n \n
\n \n
\n \n \n
\n \n \n \n \n
\n \n \n \n Processing...\n
\n \n \n \n \n
\n \n
\n\n\n\n\n"
+},
+"typeVersion": 1.2
+},
+{
+"id": "2ff87261-8a7f-451e-b8ae-b4274776ce28",
+"name": "Sticky Note3",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+540,
+20
+],
+"parameters": {
+"color": 5,
+"width": 360,
+"height": 340,
+"content": "## Image array\n* Load from PC\n* Select one of the default images\n\n### Change this node to\n### get image URLs from your data source"
+},
+"typeVersion": 1
+},
+{
+"id": "08bb17fd-1440-4194-8c4f-e18222a68bf2",
+"name": "Sticky Note4",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1080,
+-20
+],
+"parameters": {
+"color": 5,
+"width": 400,
+"height": 300,
+"content": "## HTML code of the editor\n* Konva.js\n* img-comparison-slider to compare edits vs original file\n* Additional css + js files for the editor logic"
+},
+"typeVersion": 1
+},
+{
+"id": "13a820d0-e83b-4d1e-81d1-738ef8ca4d47",
+"name": "Sticky Note5",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+580,
+500
+],
+"parameters": {
+"color": 5,
+"width": 280,
+"height": 340,
+"content": "## Call FLUX-Fill Tool\nPass the following data:\n* original image\n* alpha mask from the editor\n* text prompt\n* additional settings"
+},
+"typeVersion": 1
+},
+{
+"id": "f4ab042c-d4da-4f1e-aa05-fdd2cca62d66",
+"name": "NO OP",
+"type": "n8n-nodes-base.noOp",
+"position": [
+420,
+680
+],
+"parameters": {},
+"typeVersion": 1
+}
+],
+"active": true,
+"pinData": {
+"Webhook": []
+},
+"settings": {
+"callerPolicy": "workflowsFromSameOwner",
+"executionOrder": "v1",
+"executionTimeout": 120,
+"saveDataSuccessExecution": "all"
+},
+"versionId": "6d4112be-fb6f-4702-ac5f-2c49ff0117d4",
+"connections": {
+"Merge": {
+"main": [
+[
+{
+"node": "Editor page",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"NO OP": {
+"main": [
+[
+{
+"node": "FLUX Fill",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Mockups": {
+"main": [
+[
+{
+"node": "Merge",
+"type": "main",
+"index": 1
+}
+]
+]
+},
+"Webhook": {
+"main": [
+[
+{
+"node": "Merge",
+"type": "main",
+"index": 0
+},
+{
+"node": "Mockups",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "NO OP",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"FLUX Fill": {
+"main": [
+[
+{
+"node": "Wait 3 sec",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Is Ready?": {
+"main": [
+[
+{
+"node": "Get Fill Image",
+"type": "main",
+"index": 0
+}
+],
+[
+{
+"node": "Wait 3 sec",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Wait 3 sec": {
+"main": [
+[
+{
+"node": "Check FLUX status",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Editor page": {
+"main": [
+[
+{
+"node": "Respond to Webhook",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Get Fill Image": {
+"main": [
+[
+{
+"node": "Show the image to user",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Check FLUX status": {
+"main": [
+[
+{
+"node": "Is Ready?",
+"type": "main",
+"index": 0
+}
+]
+]
+}
+}
+}
\ No newline at end of file
diff --git a/📈 Receive Daily Market News from FT.com to your Microsoft outlook inbox.txt b/📈 Receive Daily Market News from FT.com to your Microsoft outlook inbox.txt
new file mode 100644
index 0000000..df35389
--- /dev/null
+++ b/📈 Receive Daily Market News from FT.com to your Microsoft outlook inbox.txt
@@ -0,0 +1,263 @@
+{
+"meta": {
+"instanceId": "6045c639951d83c8706b0dd8d6330164bda01fe58f103cedc2c276bf1f9c11f1"
+},
+"nodes": [
+{
+"id": "d2a24a9b-9cf3-4de0-82e7-5d858658d4b4",
+"name": "Extract specific content",
+"type": "n8n-nodes-base.html",
+"notes": "Extract selected headlines, editor's picks, spotlight etc.",
+"position": [
+800,
+340
+],
+"parameters": {
+"options": {
+"cleanUpText": true
+},
+"operation": "extractHtmlContent",
+"extractionValues": {
+"values": [
+{
+"key": "Headline #1",
+"cssSelector": "#site-content > div:nth-child(1) > section > div > div > div.layout-desktop__grid.layout-desktop__grid--span4.layout-desktop__grid--column-start-1.layout-desktop__grid--row-start-1.layout-desktop__grid--with-border.layout--default > div > div > div > div.story-group-stacked__primary-story > div > div > div > div > div.primary-story__teaser"
+},
+{
+"key": "Headline #2",
+"cssSelector": "#site-content > div:nth-child(1) > section > div > div > div.layout-desktop__grid.layout-desktop__grid--span6.layout-desktop__grid--column-start-5.layout-desktop__grid--row-start-1.layout-desktop__grid--with-border.layout--default > div > div > div > div > div > div.story-group__article.story-group__article--featured > div > div.featured-story-content > div.headline.js-teaser-headline.headline--scale-5.headline--color-black > a > span"
+},
+{
+"key": "Editor's Picks",
+"cssSelector": "#site-content > div:nth-child(1) > section > div > div > div.layout-desktop__grid.layout-desktop__grid--span2.layout-desktop__grid--column-start-11.layout-desktop__grid--row-start-1.layout--default > div"
+},
+{
+"key": "Top Stories",
+"cssSelector": "#site-content > div:nth-child(3) > section > div",
+"skipSelectors": "h2"
+},
+{
+"key": "Spotlight",
+"cssSelector": "#site-content > div:nth-child(6) > section",
+"skipSelectors": "h2"
+},
+{
+"key": "Various News",
+"cssSelector": "#site-content > div:nth-child(8) > section",
+"skipSelectors": "h2"
+},
+{
+"key": "Europe News",
+"cssSelector": "#site-content > div:nth-child(13) > section",
+"skipSelectors": "h2"
+}
+]
+}
+},
+"notesInFlow": true,
+"typeVersion": 1.2
+},
+{
+"id": "38af5df2-65ce-4f04-aed3-6f71d81a37df",
+"name": "Get financial news online",
+"type": "n8n-nodes-base.httpRequest",
+"notes": "Url : https://www.ft.com/",
+"position": [
+580,
+340
+],
+"parameters": {
+"url": "https://www.ft.com/",
+"options": {}
+},
+"notesInFlow": true,
+"typeVersion": 4.2
+},
+{
+"id": "764b2209-bf20-4feb-b000-fa261459a617",
+"name": "Schedule Trigger",
+"type": "n8n-nodes-base.scheduleTrigger",
+"position": [
+360,
+340
+],
+"parameters": {
+"rule": {
+"interval": [
+{
+"triggerAtHour": 7
+}
+]
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "96b337ba-6fe7-47ec-8385-58bfc6c789cb",
+"name": "Google Gemini Chat Model",
+"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
+"position": [
+1200,
+520
+],
+"parameters": {
+"options": {}
+},
+"credentials": {
+"googlePalmApi": {
+"id": "450x4z8bKvomb0tZ",
+"name": "Google Gemini(PaLM) Api account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "925eabf3-3619-4da2-be2c-bda97c605d4d",
+"name": "Gather the elements",
+"type": "n8n-nodes-base.set",
+"position": [
+1020,
+340
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "5412a5ee-dbbe-4fcc-98a5-6fafc37b94d1",
+"name": "News together",
+"type": "string",
+"value": "=Yahoo news :\n\n{{ $json['Headline '] }};\n\n{{ $('HTML').item.json['News #1'] }};\n\n{{ $('HTML').item.json['News #2'] }};\n\nFinancial times news :\n\n{{ $('Extract specific content').item.json['Headline #1'] }};\n\n{{ $('Extract specific content').item.json['Headline #2'] }};\n\n{{ $('Extract specific content').item.json['Editor\\'s Picks'] }};\n\n{{ $('Extract specific content').item.json['Top Stories'] }};\n\n{{ $('Extract specific content').item.json.Spotlight }};\n\n{{ $('Extract specific content').item.json['Various News'] }};\n\n{{ $('Extract specific content').item.json['Europe News'] }};\n\n"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "5445b14f-25e8-4759-82d4-985961ca7fdd",
+"name": "AI Agent",
+"type": "@n8n/n8n-nodes-langchain.agent",
+"position": [
+1200,
+340
+],
+"parameters": {
+"text": "=Here are the news to summarise :\n\n{{ $json['News together'] }}",
+"options": {
+"systemMessage": "You role is to summarise the financial news from today. The summary will help an investor to have a clear view of the market, and to make better choice. \n\nYou will write the body of an e-mail using a well structured html format"
+},
+"promptType": "define"
+},
+"typeVersion": 1.6
+},
+{
+"id": "30b76eac-d646-44d8-bc41-46aa2d9fe05f",
+"name": "Sticky Note",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+-200,
+200
+],
+"parameters": {
+"width": 683.6774193548385,
+"height": 581.4193548387093,
+"content": "# Financial News Recap Workflow\n\nThis workflow automates the daily email delivery of curated financial news to a designated recipient at 7:00 AM. It extracts relevant financial news articles, structures the content, and sends it in a concise summary format via Microsoft Outlook.\n\n### Workflow Steps\n1. **Schedule Trigger** \n Sets the workflow to activate daily at 7:00 AM.\n2. **Fetch Financial News** \n Retrieves financial news content from [ft.com](https://www.ft.com/) using an HTTP Request node.\n3. **Extract News Headlines and Sections** \n Using CSS selectors, this node parses specific sections of the HTML page to gather key headlines and sections:\n - Headline #1, Headline #2\n - Editor's Picks\n - etc.\n4. **Aggregate News Content** \n Combines all extracted news sections into a single data set, organizing content under relevant categories.\n5. **AI Agent for Summarization** \n A Google Gemini Chat Model generates a structured summary in HTML format, optimized to provide investors with a clear market overview.\n6. **Email Dispatch** \n Sends the summarized content via Microsoft Outlook with a subject \"Financial news from today,\" formatted in HTML for clarity and readability.\n"
+},
+"typeVersion": 1
+},
+{
+"id": "7f2b6e9a-8b14-4083-a05c-3b76aae601a8",
+"name": "Send the summary by e-mail",
+"type": "n8n-nodes-base.microsoftOutlook",
+"position": [
+1540,
+340
+],
+"parameters": {
+"subject": "Financial news from today",
+"bodyContent": "=News of the day : \n\n{{ $json.output }}",
+"toRecipients": "",
+"additionalFields": {
+"bodyContentType": "html"
+}
+},
+"credentials": {
+"microsoftOutlookOAuth2Api": {
+"id": "8asOQiRWBGic8ei8",
+"name": "Microsoft Outlook account"
+}
+},
+"typeVersion": 2
+}
+],
+"pinData": {},
+"connections": {
+"AI Agent": {
+"main": [
+[
+{
+"node": "Send the summary by e-mail",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Schedule Trigger": {
+"main": [
+[
+{
+"node": "Get financial news online",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Gather the elements": {
+"main": [
+[
+{
+"node": "AI Agent",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Extract specific content": {
+"main": [
+[
+{
+"node": "Gather the elements",
+"type": "main",
+"index": 0
+}
+]
+]
+},
+"Google Gemini Chat Model": {
+"ai_languageModel": [
+[
+{
+"node": "AI Agent",
+"type": "ai_languageModel",
+"index": 0
+}
+]
+]
+},
+"Get financial news online": {
+"main": [
+[
+{
+"node": "Extract specific content",
+"type": "main",
+"index": 0
+}
+]
+]
+}
+}
+}
\ No newline at end of file
diff --git a/🔍 Perplexity Research to HTML_ AI-Powered Content Creation.txt b/🔍 Perplexity Research to HTML_ AI-Powered Content Creation.txt
new file mode 100644
index 0000000..29847eb
--- /dev/null
+++ b/🔍 Perplexity Research to HTML_ AI-Powered Content Creation.txt
@@ -0,0 +1,5553 @@
+{
+"id": "HnqGW0eq5asKfZxf",
+"meta": {
+"instanceId": "03907a25f048377a8789a4332f28148522ba31ee907fababf704f1d88130b1b6",
+"templateCredsSetupCompleted": true
+},
+"name": "🔍🛠️Perplexity Researcher to HTML Web Page",
+"tags": [],
+"nodes": [
+{
+"id": "ad5d96c6-941a-4ab3-b349-10bae99e5988",
+"name": "Sticky Note",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+320,
+1360
+],
+"parameters": {
+"color": 3,
+"width": 625.851492623043,
+"height": 465.2493344282225,
+"content": "## Create Article from Perplexity Research"
+},
+"typeVersion": 1
+},
+{
+"id": "19b3ca66-5fd2-4d04-b25a-a17fb38642f8",
+"name": "Sticky Note1",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1240,
+1360
+],
+"parameters": {
+"color": 4,
+"width": 479.02028317328745,
+"height": 464.14912719677955,
+"content": "## Convert Article into HTML"
+},
+"typeVersion": 1
+},
+{
+"id": "7fad54e8-5a50-42da-b38d-08f6912615ab",
+"name": "gpt-4o-mini",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+1380,
+1660
+],
+"parameters": {
+"model": "gpt-4o-mini-2024-07-18",
+"options": {
+"responseFormat": "text"
+}
+},
+"credentials": {
+"openAiApi": {
+"id": "h597GY4ZJQD47RQd",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "5291869f-3ac6-4ce2-88f3-b572924b6082",
+"name": "gpt-4o-mini1",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+1560,
+1040
+],
+"parameters": {
+"options": {
+"topP": 1,
+"timeout": 60000,
+"maxTokens": -1,
+"maxRetries": 2,
+"temperature": 0,
+"responseFormat": "text",
+"presencePenalty": 0,
+"frequencyPenalty": 0
+}
+},
+"credentials": {
+"openAiApi": {
+"id": "h597GY4ZJQD47RQd",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "a232f6ca-ad4c-40fa-a641-f0dd83c8f18a",
+"name": "Structured Output Parser1",
+"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
+"position": [
+640,
+1660
+],
+"parameters": {
+"schemaType": "manual",
+"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"article\": {\n \"type\": \"object\",\n \"required\": [\"category\", \"title\", \"metadata\", \"content\", \"hashtags\"],\n \"properties\": {\n \"category\": {\n \"type\": \"string\",\n \"description\": \"Article category\"\n },\n \"title\": {\n \"type\": \"string\",\n \"description\": \"Article title\"\n },\n \"metadata\": {\n \"type\": \"object\",\n \"properties\": {\n \"timePosted\": {\n \"type\": \"string\",\n \"description\": \"Time since article was posted\"\n },\n \"author\": {\n \"type\": \"string\",\n \"description\": \"Article author name\"\n },\n \"tag\": {\n \"type\": \"string\",\n \"description\": \"Article primary tag\"\n }\n },\n \"required\": [\"timePosted\", \"author\", \"tag\"]\n },\n \"content\": {\n \"type\": \"object\",\n \"properties\": {\n \"mainText\": {\n \"type\": \"string\",\n \"description\": \"Main article content\"\n },\n \"sections\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"title\": {\n \"type\": \"string\",\n \"description\": \"Section title\"\n },\n \"text\": {\n \"type\": \"string\",\n \"description\": \"Section content\"\n },\n \"quote\": {\n \"type\": \"string\",\n \"description\": \"Blockquote text\"\n }\n },\n \"required\": [\"title\", \"text\", \"quote\"]\n }\n }\n },\n \"required\": [\"mainText\", \"sections\"]\n },\n \"hashtags\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"Article hashtags\"\n }\n }\n }\n }\n}"
+},
+"typeVersion": 1.2
+},
+{
+"id": "e7d1adac-88aa-4f76-92bf-bbac3aa6386a",
+"name": "gpt-4o-mini2",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+420,
+1660
+],
+"parameters": {
+"options": {
+"topP": 1,
+"timeout": 60000,
+"maxTokens": -1,
+"maxRetries": 2,
+"temperature": 0,
+"responseFormat": "json_object",
+"presencePenalty": 0,
+"frequencyPenalty": 0
+}
+},
+"credentials": {
+"openAiApi": {
+"id": "h597GY4ZJQD47RQd",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "156e51db-03f7-4099-afe8-6f0361c5b497",
+"name": "Webhook",
+"type": "n8n-nodes-base.webhook",
+"position": [
+160,
+860
+],
+"webhookId": "6a8e3ae7-02ae-4663-a27a-07df448550ab",
+"parameters": {
+"path": "pblog",
+"options": {},
+"responseMode": "responseNode"
+},
+"typeVersion": 2
+},
+{
+"id": "6dd3eba7-e779-4e4a-960e-c5a7b6b3a929",
+"name": "Respond to Webhook",
+"type": "n8n-nodes-base.respondToWebhook",
+"position": [
+2820,
+1480
+],
+"parameters": {
+"options": {},
+"respondWith": "text",
+"responseBody": "={{ $json.text }}"
+},
+"typeVersion": 1.1
+},
+{
+"id": "27ee681e-4259-4323-b4fe-629f99cb33d0",
+"name": "Telegram",
+"type": "n8n-nodes-base.telegram",
+"position": [
+2320,
+880
+],
+"parameters": {
+"text": "={{ $('Perplexity Topic Agent').item.json.output.slice(0, 300) }}",
+"chatId": "={{ $json.telegram_chat_id }}",
+"additionalFields": {
+"parse_mode": "HTML",
+"appendAttribution": false
+}
+},
+"credentials": {
+"telegramApi": {
+"id": "BIE64nzfpGeesXUn",
+"name": "Telegram account"
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "f437d40c-2bf6-43e2-b77b-e5c2cdc35055",
+"name": "gpt-4o-mini5",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+2480,
+1660
+],
+"parameters": {
+"options": {
+"topP": 1,
+"timeout": 60000,
+"maxTokens": -1,
+"maxRetries": 2,
+"temperature": 0,
+"responseFormat": "text",
+"presencePenalty": 0,
+"frequencyPenalty": 0
+}
+},
+"credentials": {
+"openAiApi": {
+"id": "h597GY4ZJQD47RQd",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "275bce4a-4252-41d4-bcba-174f0c51bf4a",
+"name": "Basic LLM Chain",
+"type": "@n8n/n8n-nodes-langchain.chainLlm",
+"position": [
+2340,
+1480
+],
+"parameters": {
+"text": "=Create a modern, responsive single-line HTML document. Convert any markdown to Tailwind CSS classes. Replace markdown lists with proper HTML list elements. Remove all newline characters while preserving tags in content. Enhance the layout with Tailwind CSS cards where appropriate. Use the following base structure, but improve the styling and responsiveness:\n\n\n\n\n\n \n \n \n
\n \n
\n \n \n
\n \n ![\"Original\"](\"\")
\n \n
\n \n \n \n \n
\n Original
\n Generated
\n \n
\n\n\n\n\n-------\n\nRequirements:\n- Output must be a single line of HTML\n- Enhanced with modern Tailwind CSS styling\n- Proper HTML list structures\n- Responsive design\n- No newlines except in content\n- No markdown formatting\n- Clean, readable layout\n- Properly formatted hashtags\n- No explanation or additional text in output\n- No code block markers or escape characters\n- Wnsure Metadata, Title and Content are included in HTML\n\nMetadata: {{ $('Article').item.json.article.metadata.toJsonString() }}\nTitle: {{ $json.title }}\nContent: {{ $json.html }}\n",
+"promptType": "define"
+},
+"typeVersion": 1.4
+},
+{
+"id": "cddd9324-8471-4dcb-a46b-836015db9833",
+"name": "Do Nothing1",
+"type": "n8n-nodes-base.noOp",
+"position": [
+560,
+1080
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "432a0ae9-451a-4830-b065-8b0593de92ea",
+"name": "gpt-4o-mini3",
+"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
+"position": [
+1020,
+1040
+],
+"parameters": {
+"options": {
+"topP": 1,
+"timeout": 60000,
+"maxTokens": -1,
+"maxRetries": 2,
+"temperature": 0,
+"responseFormat": "text",
+"presencePenalty": 0,
+"frequencyPenalty": 0
+}
+},
+"credentials": {
+"openAiApi": {
+"id": "h597GY4ZJQD47RQd",
+"name": "OpenAi account"
+}
+},
+"typeVersion": 1
+},
+{
+"id": "55e00886-b6c1-4f7a-81ae-e8e0d4102cab",
+"name": "Sticky Note4",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+2200,
+1360
+],
+"parameters": {
+"color": 6,
+"width": 531,
+"height": 465,
+"content": "## Create HTML Page with TailwindCSS Styling"
+},
+"typeVersion": 1
+},
+{
+"id": "1ed7f754-1279-4511-a085-6ed4e4c36de1",
+"name": "Sticky Note2",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+320,
+760
+],
+"parameters": {
+"width": 450.54438902818094,
+"height": 489.5271576259337,
+"content": "## Parse Topic from Get Request"
+},
+"typeVersion": 1
+},
+{
+"id": "e9dcb568-7f8d-40c5-94cb-6f25386436cf",
+"name": "Sticky Note5",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+820,
+760
+],
+"parameters": {
+"color": 5,
+"width": 380,
+"height": 488,
+"content": "## Improve the Users Topic"
+},
+"typeVersion": 1
+},
+{
+"id": "a7fdaddb-d6fc-4d45-85cc-a372cfb90327",
+"name": "If2",
+"type": "n8n-nodes-base.if",
+"position": [
+2120,
+1140
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "8e35de0a-ac16-4555-94f4-24e97bdf4b33",
+"operator": {
+"type": "string",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "{{ $json.output }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "57d056b8-7e91-41e4-8b74-dce15847a09b",
+"name": "Prompts",
+"type": "n8n-nodes-base.set",
+"position": [
+1300,
+2080
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "efbe7563-8502-407e-bfa0-a4a26d8cddd4",
+"name": "user",
+"type": "string",
+"value": "={{ $('Execute Workflow Trigger').item.json.topic }}"
+},
+{
+"id": "05e0b629-bb9f-4010-96a8-10872764705a",
+"name": "system",
+"type": "string",
+"value": "Assistant is a large language model. Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand. Assistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics. Overall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist. "
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "8209cece-fde4-485f-81a1-2d24a6eac474",
+"name": "Execute Workflow Trigger",
+"type": "n8n-nodes-base.executeWorkflowTrigger",
+"position": [
+420,
+2180
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "445e4d15-c2b0-4152-a0f8-d6b93ad5bae6",
+"name": "Telegram2",
+"type": "n8n-nodes-base.telegram",
+"position": [
+860,
+2180
+],
+"parameters": {
+"text": "={{ $('Execute Workflow Trigger').item.json.topic }}",
+"chatId": "={{ $json.telegram_chat_id }}",
+"additionalFields": {
+"parse_mode": "HTML",
+"appendAttribution": false
+}
+},
+"credentials": {
+"telegramApi": {
+"id": "BIE64nzfpGeesXUn",
+"name": "Telegram account"
+}
+},
+"typeVersion": 1.2
+},
+{
+"id": "57a5b3ce-5490-4d50-91cc-c36e508eee4d",
+"name": "If",
+"type": "n8n-nodes-base.if",
+"position": [
+1080,
+2180
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "7e2679dc-c898-415d-a693-c2c1e7259b6a",
+"operator": {
+"type": "string",
+"operation": "notContains"
+},
+"leftValue": "={{ $('Execute Workflow Trigger').item.json.topic }}",
+"rightValue": "undefined"
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "fdf827dc-96b1-4ed3-895b-2a0f5f4c41a3",
+"name": "No Operation, do nothing",
+"type": "n8n-nodes-base.noOp",
+"position": [
+1300,
+2300
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "944aa564-f449-47a6-9d9c-c20a48946ab6",
+"name": "Sticky Note6",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+320,
+1940
+],
+"parameters": {
+"color": 5,
+"width": 1614,
+"height": 623,
+"content": "## 🛠️perplexity_research_tool\n\n"
+},
+"typeVersion": 1
+},
+{
+"id": "3806c079-8c08-48b7-a3ed-a26f6d86c67f",
+"name": "Perplexity Topic Agent",
+"type": "@n8n/n8n-nodes-langchain.agent",
+"position": [
+1580,
+860
+],
+"parameters": {
+"text": "=Topic: {{ $json.text }}",
+"options": {
+"systemMessage": "Use the perplexity_research_tool to provide research on the users topic.\n\n"
+},
+"promptType": "define",
+"hasOutputParser": true
+},
+"typeVersion": 1.6
+},
+{
+"id": "cfc55dbb-78e6-47ef-bf55-810311bd37e8",
+"name": "Call Perplexity Researcher",
+"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
+"position": [
+1780,
+1040
+],
+"parameters": {
+"name": "perplexity_research_tool",
+"fields": {
+"values": [
+{
+"name": "topic",
+"stringValue": "= {{ $json.text }}"
+}
+]
+},
+"workflowId": {
+"__rl": true,
+"mode": "id",
+"value": "HnqGW0eq5asKfZxf"
+},
+"description": "Call this tool to perform Perplexity research.",
+"jsonSchemaExample": "{\n \"topic\": \"\"\n}"
+},
+"typeVersion": 1.2
+},
+{
+"id": "5ca35a40-506d-4768-a65c-a331718040bc",
+"name": "Do Nothing",
+"type": "n8n-nodes-base.noOp",
+"position": [
+2320,
+1140
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "17028837-4706-43f3-8291-f150860caa4c",
+"name": "Do Nothing2",
+"type": "n8n-nodes-base.noOp",
+"position": [
+1020,
+1700
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "adebf1ad-62d9-4b79-b9a1-4a9395067803",
+"name": "Do Nothing3",
+"type": "n8n-nodes-base.noOp",
+"position": [
+2000,
+1700
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "fe19e472-3b2b-4c07-b957-fb2afc426998",
+"name": "Do Nothing4",
+"type": "n8n-nodes-base.noOp",
+"position": [
+1260,
+1080
+],
+"parameters": {},
+"typeVersion": 1
+},
+{
+"id": "41e23462-a7fa-42a8-adbc-83a662f63f0c",
+"name": "Sticky Note7",
+"type": "n8n-nodes-base.stickyNote",
+"position": [
+1460,
+760
+],
+"parameters": {
+"color": 3,
+"width": 480,
+"height": 488,
+"content": "## 🤖Perform Perplexity Research"
+},
+"typeVersion": 1
+},
+{
+"id": "dcc3bd83-1f8c-4000-a832-c2c6e7c157ba",
+"name": "Get Topic",
+"type": "n8n-nodes-base.set",
+"position": [
+380,
+860
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "57f0eab2-ef1b-408c-82d5-a8c54c4084a6",
+"name": "topic",
+"type": "string",
+"value": "={{ $json.query.topic }}"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "5572e5b1-0b4c-4e6d-b413-5592aab59571",
+"name": "If Topic Exists",
+"type": "n8n-nodes-base.if",
+"position": [
+560,
+860
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "2c565aa5-0d11-47fb-8621-6db592579fa8",
+"operator": {
+"type": "string",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json.topic }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "509ee61f-defb-41e8-84cf-70ac5a7448d0",
+"name": "Improve Users Topic",
+"type": "@n8n/n8n-nodes-langchain.chainLlm",
+"position": [
+880,
+860
+],
+"parameters": {
+"text": "=How would you improve the following prompt as of {{ $now }}, focusing on:\n\n1. Key Concepts & Definitions\n - Main terminology and foundational concepts\n - Technical background and context\n\n2. Core Components\n - Essential elements and their relationships\n - Critical processes and workflows\n\n3. Practical Applications\n - Real-world use cases\n - Implementation considerations\n\n4. Analysis & Insights\n - Advantages and limitations\n - Best practices and recommendations\n\nThe final output should be a maximum 2 sentence pure text prompt without any preamble or further explanation. The final output will be providced to Perplexity as a research prompt.\n\nPrompt to analyze: {{ $json.topic }}",
+"promptType": "define"
+},
+"typeVersion": 1.4
+},
+{
+"id": "69ee4c6a-f6ef-47a2-bd5c-ccaf49ec7c94",
+"name": "If Topic",
+"type": "n8n-nodes-base.if",
+"position": [
+1260,
+860
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "329653d4-330f-4b41-96e7-4652c1448902",
+"operator": {
+"type": "string",
+"operation": "notEmpty",
+"singleValue": true
+},
+"leftValue": "={{ $json.text }}",
+"rightValue": ""
+}
+]
+}
+},
+"typeVersion": 2.2
+},
+{
+"id": "daa3027b-774d-44b1-b0a5-27008768c65d",
+"name": "Chat Id",
+"type": "n8n-nodes-base.set",
+"position": [
+2120,
+880
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "0aa8fcc9-26f4-485c-8fc1-a5c13d0dd279",
+"name": "telegram_chat_id",
+"type": "number",
+"value": 1234567890
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "97f32ad1-f91e-4ccc-8248-d10da823b26a",
+"name": "Article",
+"type": "n8n-nodes-base.set",
+"position": [
+780,
+1480
+],
+"parameters": {
+"options": {},
+"assignments": {
+"assignments": [
+{
+"id": "0eb5952b-c133-4b63-8102-d4b8ec7b9b5a",
+"name": "article",
+"type": "object",
+"value": "={{ $json.output.article }}"
+}
+]
+}
+},
+"typeVersion": 3.4
+},
+{
+"id": "e223dee3-c79f-421d-b2b8-2f3551a45f71",
+"name": "Extract JSON",
+"type": "@n8n/n8n-nodes-langchain.agent",
+"position": [
+440,
+1480
+],
+"parameters": {
+"text": "=Extract a JSON object from this content: {{ $json.output }}",
+"options": {},
+"promptType": "define",
+"hasOutputParser": true
+},
+"retryOnFail": true,
+"typeVersion": 1.6
+},
+{
+"id": "de8aafb6-b05d-4278-8719-9b3c266fcf3a",
+"name": "If Article",
+"type": "n8n-nodes-base.if",
+"position": [
+1020,
+1480
+],
+"parameters": {
+"options": {},
+"conditions": {
+"options": {
+"version": 2,
+"leftValue": "",
+"caseSensitive": true,
+"typeValidation": "strict"
+},
+"combinator": "and",
+"conditions": [
+{
+"id": "329653d4-330f-4b41-96e7-4652c1448902",
+"operator": {
+"type": "string",
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+"text": "=Convert this verbatim into HTML: {{ $json.article.toJsonString() }}\n\n## Formatting Guidelines\n- HTML document must be single line document without tabs or line breaks\n- Use proper HTML tags throughout\n- Do not use these tags: \n
\n \n
\n \n \n \n DeepSeek V3 employs a Mixture-of-Experts architecture for efficient processing.\n \n \n \n DeepSeek V3 democratizes AI access for smaller organizations.\n \n \n \n DeepSeek V3 processes information at 60 tokens per second.\n \n \n \n Deployment of DeepSeek V3 may be complex for small companies.\n \n \n \n Engage with the open-source community for better implementation.\n \n
\n Comprehensive Overview of DeepSeek V3
\n\n
\n Time Posted: Just now
\nAuthor: AI Research Team
\nTag: AI Models
\nDeepSeek V3 is a state-of-the-art AI model that leverages\n advanced architectures and techniques to deliver high performance across various applications.\n This overview covers its key concepts, practical applications, advantages, limitations, and best\n practices for implementation.
\nKey Concepts and Core Components
\n1. Mixture-of-Experts (MoE) Architecture: DeepSeek V3\n employs a Mixture-of-Experts (MoE) architecture, which consists of multiple neural networks,\n each optimized for different tasks. This architecture allows for efficient processing by\n activating only a portion of the network for each task, reducing hardware costs.
\n2. Parameters: The model boasts a total of 671\n billion\n parameters, with 37 billion active parameters for each token during processing. The addition\n of\n the Multi-Token Prediction (MTP) module increases the total parameters to 685 billion,\n making it\n significantly larger than other models like Meta's Llama 3.1 (405B).
\n3. Multi-head Latent Attention (MLA): DeepSeek V3\n uses\n Multi-head Latent Attention (MLA) to extract key details from text multiple times, improving\n its\n accuracy.
\n4. Multi-Token Prediction (MTP): The model utilizes\n Multi-Token Prediction to generate several tokens at once, speeding up inference and\n enabling\n speculative decoding.
\nPractical Applications
\n- \n
- Translation, Coding, and Content Generation:\n DeepSeek V3 is designed for a wide range of tasks including translation, coding, content\n generation, and reasoning. It excels in English, Chinese, coding, and mathematics,\n rivaling leading commercial models like OpenAI's GPT-4. \n
- Research and Development: The open-source nature\n of DeepSeek V3 fuels innovation, allowing researchers to experiment with and build upon\n its technology. \n
- Commercial Applications: The licensing of\n DeepSeek V3 makes it permissible for commercial use, opening it up to numerous\n applications across different industries. \n
- Democratization of AI: By making powerful AI\n accessible, DeepSeek V3 levels the playing field, allowing smaller organizations to\n compete with larger ones. \n
Advantages
\n- \n
- Speed and Efficiency: DeepSeek V3 processes\n information at a blistering 60 tokens per second, a threefold increase over its\n predecessor. It uses advanced inference capabilities, deploying 32 H800 GPUs for prefill\n and 320 H800 GPUs for decoding. \n
- Cost-Effectiveness: The model was trained for a\n mere $5.5 million, a fraction of the estimated over $100 million invested by OpenAI in\n GPT-4. DeepSeek V3 offers significantly lower prices for its online services, with 1\n million tokens priced at just $1.1, currently offered at a promotional rate of $0.28.\n \n
- Innovation in Inference: The model's advanced\n inference capabilities set the standard for future model deployment, making it a\n powerful tool in the digital realm. \n
Limitations
\n- \n
- Deployment Complexity: Deploying DeepSeek V3\n requires advanced hardware and a deployment strategy that separates the prefilling and\n decoding stages, which might be unachievable for small companies due to a lack of\n resources. The recommended deployment unit for DeepSeek V3 is relatively large, posing a\n burden for small-sized teams. \n
- Potential for Further Enhancement: Although\n DeepSeek V3 has achieved an end-to-end generation speed of more than two times that of\n DeepSeek V2, there still remains potential for further enhancement with the development\n of more advanced hardware. \n
Best Practices for Implementation
\n- \n
- Hardware Requirements: Ensure that the\n deployment environment has the necessary advanced hardware to handle the model's\n requirements, including multiple GPUs for prefill and decoding. \n
- Deployment Strategy: Implement a deployment\n strategy that separates the prefilling and decoding stages to optimize performance and\n efficiency. \n
- Monitoring and Optimization: Continuously\n monitor the model's performance and optimize it as needed to address any limitations and\n improve efficiency. \n
- Community Engagement: Engage with the\n open-source community to leverage the collective knowledge and resources available,\n which can help in addressing any challenges and improving the model further. \n
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