{
  "openruna_format": "flow-graph-v1",
  "title": "Insert and retrieve documents",
  "slug": "insert-and-retrieve-documents",
  "source_filename": "1495_Splitout_Limit_Import_Webhook.json",
  "nodes": [
    {
      "id": "When clicking \"Execute Workflow\"",
      "name": "When clicking \"Execute Workflow\"",
      "integration": "manual",
      "kind": "trigger"
    },
    {
      "id": "Fetch Essay List",
      "name": "Fetch Essay List",
      "integration": "httpRequest",
      "kind": "action"
    },
    {
      "id": "Extract essay names",
      "name": "Extract essay names",
      "integration": "html",
      "kind": "action"
    },
    {
      "id": "Split out into items",
      "name": "Split out into items",
      "integration": "splitOut",
      "kind": "logic"
    },
    {
      "id": "Fetch essay texts",
      "name": "Fetch essay texts",
      "integration": "httpRequest",
      "kind": "action"
    },
    {
      "id": "Limit to first 3",
      "name": "Limit to first 3",
      "integration": "limit",
      "kind": "logic"
    },
    {
      "id": "Extract Text Only",
      "name": "Extract Text Only",
      "integration": "html",
      "kind": "action"
    },
    {
      "id": "Recursive Character Text Splitter1",
      "name": "Recursive Character Text Splitter1",
      "integration": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "kind": "action"
    },
    {
      "id": "Generate response",
      "name": "Generate response",
      "integration": "set",
      "kind": "logic"
    },
    {
      "id": "Compose citations",
      "name": "Compose citations",
      "integration": "set",
      "kind": "logic"
    },
    {
      "id": "Answer the query based on chunks",
      "name": "Answer the query based on chunks",
      "integration": "@n8n/n8n-nodes-langchain.informationExtractor",
      "kind": "action"
    },
    {
      "id": "Prepare chunks",
      "name": "Prepare chunks",
      "integration": "code",
      "kind": "logic"
    },
    {
      "id": "Set max chunks to send to model",
      "name": "Set max chunks to send to model",
      "integration": "set",
      "kind": "logic"
    },
    {
      "id": "Embeddings OpenAI2",
      "name": "Embeddings OpenAI2",
      "integration": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "kind": "action"
    },
    {
      "id": "When chat message received",
      "name": "When chat message received",
      "integration": "@n8n/n8n-nodes-langchain.chat",
      "kind": "trigger"
    },
    {
      "id": "Milvus Vector Store in retrieval",
      "name": "Milvus Vector Store in retrieval",
      "integration": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
      "kind": "action"
    },
    {
      "id": "Milvus Vector Store",
      "name": "Milvus Vector Store",
      "integration": "@n8n/n8n-nodes-langchain.vectorStoreMilvus",
      "kind": "action"
    },
    {
      "id": "Embeddings OpenAI",
      "name": "Embeddings OpenAI",
      "integration": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "kind": "action"
    },
    {
      "id": "Default Data Loader",
      "name": "Default Data Loader",
      "integration": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "kind": "action"
    },
    {
      "id": "OpenAI Chat Model",
      "name": "OpenAI Chat Model",
      "integration": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "kind": "action"
    }
  ],
  "edges": [
    {
      "from": "Prepare chunks",
      "to": "Answer the query based on chunks"
    },
    {
      "from": "Fetch Essay List",
      "to": "Extract essay names"
    },
    {
      "from": "Limit to first 3",
      "to": "Fetch essay texts"
    },
    {
      "from": "Compose citations",
      "to": "Generate response"
    },
    {
      "from": "Extract Text Only",
      "to": "Milvus Vector Store"
    },
    {
      "from": "Fetch essay texts",
      "to": "Extract Text Only"
    },
    {
      "from": "Extract essay names",
      "to": "Split out into items"
    },
    {
      "from": "Split out into items",
      "to": "Limit to first 3"
    },
    {
      "from": "Set max chunks to send to model",
      "to": "Milvus Vector Store in retrieval"
    },
    {
      "from": "Answer the query based on chunks",
      "to": "Compose citations"
    },
    {
      "from": "Milvus Vector Store in retrieval",
      "to": "Prepare chunks"
    },
    {
      "from": "When clicking \"Execute Workflow\"",
      "to": "Fetch Essay List"
    }
  ]
}