feat: add folder support for workflows (fixes #70)

workflows/Stickynote/1379_Stickynote_Automation_Triggered.json

@@ -0,0 +1,116 @@
+{
+  "id": "af8RV5b2TWB2LclA",
+  "meta": {
+    "instanceId": "95f2ab28b3dabb8da5d47aa5145b95fe3845f47b20d6343dd5256b6a28ba8fab",
+    "templateCredsSetupCompleted": true
+  },
+  "name": "Chat with local LLMs using n8n and Ollama",
+  "tags": [],
+  "nodes": [
+    {
+      "id": "475385fa-28f3-45c4-bd1a-10dde79f74f2",
+      "name": "When chat message received",
+      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
+      "position": [
+        700,
+        460
+      ],
+      "webhookId": "ebdeba3f-6b4f-49f3-ba0a-8253dd226161",
+      "parameters": {
+        "options": {}
+      },
+      "typeVersion": 1.1
+    },
+    {
+      "id": "61133dc6-dcd9-44ff-85f2-5d8cc2ce813e",
+      "name": "Ollama Chat Model",
+      "type": "@n8n/n8n-nodes-langchain.lmChatOllama",
+      "position": [
+        900,
+        680
+      ],
+      "parameters": {
+        "options": {}
+      },
+      "credentials": {
+        "ollamaApi": {
+          "id": "MyYvr1tcNQ4e7M6l",
+          "name": "Local Ollama"
+        }
+      },
+      "typeVersion": 1
+    },
+    {
+      "id": "3e89571f-7c87-44c6-8cfd-4903d5e1cdc5",
+      "name": "Sticky Note",
+      "type": "n8n-nodes-base.stickyNote",
+      "position": [
+        160,
+        80
+      ],
+      "parameters": {
+        "width": 485,
+        "height": 473,
+        "content": "## Chat with local LLMs using n8n and Ollama\nThis n8n workflow allows you to seamlessly interact with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. By connecting to Ollama, a powerful tool for managing local LLMs, you can send prompts and receive AI-generated responses directly within n8n.\n\n### How it works\n1. When chat message received: Captures the user's input from the chat interface.\n2. Chat LLM Chain: Sends the input to the Ollama server and receives the AI-generated response.\n3. Delivers the LLM's response back to the chat interface.\n\n### Set up steps\n* Make sure Ollama is installed and running on your machine before executing this workflow.\n* Edit the Ollama address if different from the default.\n"
+      },
+      "typeVersion": 1
+    },
+    {
+      "id": "9345cadf-a72e-4d3d-b9f0-d670744065fe",
+      "name": "Sticky Note1",
+      "type": "n8n-nodes-base.stickyNote",
+      "position": [
+        1040,
+        660
+      ],
+      "parameters": {
+        "color": 6,
+        "width": 368,
+        "height": 258,
+        "content": "## Ollama setup\n* Connect to your local Ollama, usually on http://localhost:11434\n* If running in Docker, make sure that the n8n container has access to the host's network in order to connect to Ollama. You can do this by passing `--net=host` option when starting the n8n Docker container"
+      },
+      "typeVersion": 1
+    },
+    {
+      "id": "eeffdd4e-6795-4ebc-84f7-87b5ac4167d9",
+      "name": "Chat LLM Chain",
+      "type": "@n8n/n8n-nodes-langchain.chainLlm",
+      "position": [
+        920,
+        460
+      ],
+      "parameters": {},
+      "typeVersion": 1.4
+    }
+  ],
+  "active": false,
+  "pinData": {},
+  "settings": {
+    "executionOrder": "v1"
+  },
+  "versionId": "3af03daa-e085-4774-8676-41578a4cba2d",
+  "connections": {
+    "Ollama Chat Model": {
+      "ai_languageModel": [
+        [
+          {
+            "node": "Chat LLM Chain",
+            "type": "ai_languageModel",
+            "index": 0
+          }
+        ]
+      ]
+    },
+    "When chat message received": {
+      "main": [
+        [
+          {
+            "node": "Chat LLM Chain",
+            "type": "main",
+            "index": 0
+          }
+        ]
+      ]
+    }
+  }
+}