{
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  "nodes": [
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      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
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      ],
      "parameters": {
        "model": {
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          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
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      "parameters": {},
      "typeVersion": 1
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      "name": "Fetch Essay List",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "http://www.paulgraham.com/articles.html",
        "options": {}
      },
      "typeVersion": 4.2
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      "name": "Extract essay names",
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      "position": [
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      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "essay",
              "attribute": "href",
              "cssSelector": "table table a",
              "returnArray": true,
              "returnValue": "attribute"
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      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "essay"
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      "name": "Fetch essay texts",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
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      ],
      "parameters": {
        "url": "=http://www.paulgraham.com/{{ $json.essay }}",
        "options": {}
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    {
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      "name": "Limit to first 3",
      "type": "n8n-nodes-base.limit",
      "position": [
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        0
      ],
      "parameters": {
        "maxItems": 3
      },
      "typeVersion": 1
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    {
      "id": "318aeeed-fcce-4de2-aa04-92033ef01f28",
      "name": "Extract Text Only",
      "type": "n8n-nodes-base.html",
      "position": [
        1200,
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      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
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      "position": [
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      ],
      "parameters": {
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        "height": 285.66037735849045,
        "content": "## Scrape latest Paul Graham essays"
      },
      "typeVersion": 1
    },
    {
      "id": "cf9af24c-9e08-4f27-ad4e-509f72e54a9b",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1120,
        -120
      ],
      "parameters": {
        "width": 625,
        "height": 607,
        "content": "## Load into Milvus vector store"
      },
      "typeVersion": 1
    },
    {
      "id": "95e9a59d-1832-4eb7-b58d-ba391c1acb1c",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -200,
        380
      ],
      "webhookId": "cd2703a7-f912-46fe-8787-3fb83ea116ab",
      "parameters": {
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      "position": [
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      ],
      "parameters": {
        "width": 280,
        "height": 180,
        "content": "## Step 1\n1. Set up a Milvus server based on [this guide](https://milvus.io/docs/install_standalone-docker-compose.md). And then create a collection named `my_collection`.\n2. Click this workflow to load scrape and load Paul Graham essays to Milvus collection.\n"
      },
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    },
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      "name": "Milvus Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
      "position": [
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        0
      ],
      "parameters": {
        "mode": "insert",
        "options": {
          "clearCollection": true
        },
        "milvusCollection": {
          "__rl": true,
          "mode": "list",
          "value": "my_collection",
          "cachedResultName": "my_collection"
        }
      },
      "typeVersion": 1.1
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      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        1460,
        220
      ],
      "parameters": {
        "options": {},
        "jsonData": "={{ $('Extract Text Only').item.json.data }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1
    },
    {
      "id": "26730b7b-2bb9-46f8-83c3-3d4ffdfdef57",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        1320,
        240
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.2
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    {
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      "name": "Recursive Character Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "chunkSize": 6000
      },
      "typeVersion": 1
    },
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      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 280,
        "height": 120,
        "content": "## Step 2\nChat with this QA Chain with Milvus retriever\n"
      },
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    },
    {
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      "name": "Embeddings OpenAI1",
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      "position": [
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      ],
      "parameters": {
        "milvusCollection": {
          "__rl": true,
          "mode": "list",
          "value": "my_collection",
          "cachedResultName": "my_collection"
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 7,
        "width": 574,
        "height": 629,
        "content": ""
      },
      "typeVersion": 1
    },
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      "id": "3665ef25-e464-496a-84d6-980b96e78e9a",
      "name": "Q&A Chain to Retrieve from Milvus and Answer Question",
      "type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
      "position": [
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      ],
      "parameters": {
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      "name": "Milvus Vector Store Retriever",
      "type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
      "position": [
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        580
      ],
      "parameters": {},
      "typeVersion": 1
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  "pinData": {},
  "connections": {
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          {
            "node": "Extract essay names",
            "type": "main",
            "index": 0
          }
        ]
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    },
    "Limit to first 3": {
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            "node": "Fetch essay texts",
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    "Embeddings OpenAI": {
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            "node": "Milvus Vector Store",
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    "Fetch essay texts": {
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            "node": "Extract Text Only",
            "type": "main",
            "index": 0
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    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
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          {
            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "ai_languageModel",
            "index": 0
          }
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      ]
    },
    "Embeddings OpenAI1": {
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            "node": "Milvus Vector Store1",
            "type": "ai_embedding",
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    "Default Data Loader": {
      "ai_document": [
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            "type": "ai_document",
            "index": 0
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        ]
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    "Extract essay names": {
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            "node": "Split out into items",
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            "node": "Milvus Vector Store Retriever",
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            "node": "Limit to first 3",
            "type": "main",
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    },
    "When chat message received": {
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            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "main",
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            "node": "Q&A Chain to Retrieve from Milvus and Answer Question",
            "type": "ai_retriever",
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    },
    "When clicking \"Execute Workflow\"": {
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        [
          {
            "node": "Fetch Essay List",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    }
  }
}