feat: add folder support for workflows (fixes #70)
This commit is contained in:
Praveen Mudalgeri
@@ -0,0 +1,422 @@
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"id": "2Eba0OHGtOmoTWOU",
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"name": "rag",
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"createdAt": "2025-05-03T17:14:30.099Z",
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"updatedAt": "2025-05-03T17:14:30.099Z"
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"nodes": [
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{
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"name": "Default Data Loader",
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"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
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"position": [
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"modelName": "embed-multilingual-v3.0"
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"id": "8gcYMleu1b8Hm03D",
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"name": "CohereApi account"
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"options": {}
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"typeVersion": 1.1
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{
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"id": "23004477-3f6d-4909-a626-0eba0557a5bd",
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"name": "Watch New Files",
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"type": "n8n-nodes-base.googleDriveTrigger",
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"position": [
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-800,
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"parameters": {
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"event": "fileCreated",
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"options": {},
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"pollTimes": {
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"item": [
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{
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"mode": "everyMinute"
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},
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"triggerOn": "specificFolder",
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"folderToWatch": {
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"__rl": true,
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"mode": "list",
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"value": "15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
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"cachedResultUrl": "https://drive.google.com/drive/folders/15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
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"cachedResultName": "RAG template"
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}
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},
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"credentials": {
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"googleDriveOAuth2Api": {
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"id": "r1DVmNxwkIL8JO17",
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"name": "Google Drive account"
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}
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},
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"typeVersion": 1
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},
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{
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"id": "001fbdbe-dfcb-4552-bf09-de416b253389",
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"name": "Download New",
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"type": "n8n-nodes-base.googleDrive",
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"position": [
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-580,
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],
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"parameters": {
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"fileId": {
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"__rl": true,
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"mode": "id",
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"value": "={{ $json.id }}"
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},
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"options": {},
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"operation": "download"
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},
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"credentials": {
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"googleDriveOAuth2Api": {
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"id": "r1DVmNxwkIL8JO17",
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"name": "Google Drive account"
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"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
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"mode": "insert",
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"options": {
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"clearCollection": false
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"milvusCollection": {
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"__rl": true,
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"mode": "list",
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"value": "collectionName",
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"cachedResultName": "collectionName"
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}
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},
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"credentials": {
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"milvusApi": {
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"id": "Gpsxqr2l9Qxu48h0",
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"name": "Milvus account"
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}
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"typeVersion": 1.1
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{
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"id": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
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"name": "RAG Agent",
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"type": "@n8n/n8n-nodes-langchain.agent",
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"position": [
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],
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"parameters": {
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"options": {}
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"typeVersion": 1.8
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},
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{
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"id": "a103506e-9019-41f2-9b0d-9b831434c9e9",
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"name": "Retrieve from Milvus",
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"type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
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"position": [
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"parameters": {
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"mode": "retrieve-as-tool",
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"topK": 10,
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"toolName": "vector_store",
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"toolDescription": "You are an AI agent that responds based on information received from a vector database.",
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"milvusCollection": {
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"__rl": true,
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"mode": "list",
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"value": "collectionName",
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"cachedResultName": "collectionName"
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}
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},
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"credentials": {
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"milvusApi": {
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"id": "Gpsxqr2l9Qxu48h0",
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"name": "Milvus account"
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}
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},
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"typeVersion": 1.1
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"id": "74ccdff1-b976-4e1c-a2c4-237ffff19e34",
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"name": "OpenAI 4o",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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"parameters": {
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"model": {
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"__rl": true,
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"mode": "list",
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"value": "gpt-4o",
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"cachedResultName": "gpt-4o"
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"options": {}
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"openAiApi": {
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"id": "vupAk5StuhOafQcb",
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"name": "OpenAi account"
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"name": "Memory",
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"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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"name": "Cohere embeddings",
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"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
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"parameters": {
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"modelName": "embed-multilingual-v3.0"
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"credentials": {
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"cohereApi": {
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"id": "8gcYMleu1b8Hm03D",
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"name": "CohereApi account"
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}
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"typeVersion": 1
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},
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"id": "3c3a8900-0b98-4479-8602-16b21e011ba1",
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"name": "Set Chunks",
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"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
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"position": [
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"parameters": {
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"options": {},
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"chunkSize": 700,
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"chunkOverlap": 60
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},
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"typeVersion": 1
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},
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{
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"id": "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07",
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"name": "Extract from File",
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"type": "n8n-nodes-base.extractFromFile",
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"position": [
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-360,
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],
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"parameters": {
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"options": {},
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"operation": "pdf"
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},
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"typeVersion": 1
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},
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{
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"id": "e0c9d4d7-5e3e-4e47-bb1f-dbdca360b20a",
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"name": "Sticky Note",
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"type": "n8n-nodes-base.stickyNote",
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"parameters": {
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"color": 2,
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"width": 540,
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"height": 600,
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"content": "## Why Milvus\nBased on comparisons and user feedback, **Milvus is often considered a more performant and scalable vector database solution compared to Supabase**, particularly for demanding use cases involving large datasets, high-volume vector search operations, and multilingual support.\n\n\n### Requirements\n- Create an account on [Zilliz](https://zilliz.com/) to generate the Milvus cluster. \n- There is no need to create docker containers or your own instance, Zilliz provides the cloud infraestructure to build it easily\n- Get your credentials ready from Drive, Milvus (Zilliz), and [Cohere](https://cohere.com)\n\n### Usage\nEvery time a new pdf is added into the Drive folder, it will be inserted into the Milvus Vector Store, allowing for the interaction with the RAG agent in seconds.\n\n## Calculate your company's RAG costs\n\nWant to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator](https://zilliz.com/rag-cost-calculator/)\n\n### Get in touch with us\nWant to implement a RAG AI agent for your company? [Shoot us a message](https://1node.ai)\n"
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},
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"typeVersion": 1
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}
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],
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"active": true,
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"pinData": {},
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"settings": {
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"executionOrder": "v1"
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},
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"versionId": "8b5fc2b8-50f7-425c-8fc8-94ba4f76ecf3",
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"connections": {
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"Memory": {
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"ai_memory": [
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[
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{
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"node": "RAG Agent",
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"type": "ai_memory",
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"index": 0
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}
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]
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]
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},
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"OpenAI 4o": {
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"ai_languageModel": [
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[
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{
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"node": "RAG Agent",
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"type": "ai_languageModel",
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"index": 0
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}
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]
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]
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},
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"Set Chunks": {
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"ai_textSplitter": [
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[
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{
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"node": "Default Data Loader",
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"type": "ai_textSplitter",
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"index": 0
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}
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]
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]
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},
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"Download New": {
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"main": [
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[
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{
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"node": "Extract from File",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Watch New Files": {
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"main": [
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[
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{
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"node": "Download New",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Cohere embeddings": {
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"ai_embedding": [
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[
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{
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"node": "Retrieve from Milvus",
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"type": "ai_embedding",
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"index": 0
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}
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]
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]
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},
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"Embeddings Cohere": {
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"ai_embedding": [
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[
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{
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"node": "Insert into Milvus",
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"type": "ai_embedding",
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"index": 0
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}
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]
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]
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},
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"Extract from File": {
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"main": [
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[
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{
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"node": "Insert into Milvus",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Default Data Loader": {
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"ai_document": [
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[
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{
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"node": "Insert into Milvus",
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"type": "ai_document",
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"index": 0
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}
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]
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]
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},
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"Retrieve from Milvus": {
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"ai_tool": [
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[
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{
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"node": "RAG Agent",
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"type": "ai_tool",
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"index": 0
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}
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]
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]
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},
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"When chat message received": {
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"main": [
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[
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{
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"node": "RAG Agent",
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"type": "main",
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"index": 0
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}
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]
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]
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}
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}
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}
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Block a user