The workflow JSON

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{
  "name": "RAG Agent (template)",
  "nodes": [
    {
      "parameters": {},
      "id": "ingest-trigger",
      "name": "Ingest Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        240,
        200
      ]
    },
    {
      "parameters": {},
      "id": "chunk",
      "name": "Chunk",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        480,
        200
      ]
    },
    {
      "parameters": {},
      "id": "embed-ingest",
      "name": "Embed (attach your embeddings)",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        720,
        200
      ]
    },
    {
      "parameters": {},
      "id": "vectorstore",
      "name": "Vector Store (attach your connection)",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        960,
        200
      ]
    },
    {
      "parameters": {
        "path": "rag-ask",
        "options": {}
      },
      "id": "question-trigger",
      "name": "Ask (webhook)",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        240,
        460
      ]
    },
    {
      "parameters": {},
      "id": "retrieve",
      "name": "Retrieve top-k",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        560,
        460
      ]
    },
    {
      "parameters": {},
      "id": "answer-agent",
      "name": "Answer Agent (attach your LLM)",
      "type": "n8n-nodes-base.noOp",
      "typeVersion": 1,
      "position": [
        840,
        460
      ]
    },
    {
      "parameters": {
        "content": "RAG AGENT\n\nIngestion (top): chunk -> embed -> vector store. Re-run when sources change.\nAnswer (bottom): retrieve top-k -> agent grounded in retrieved context.\n\nAlways have the agent cite the source chunk IDs it used. If retrieval confidence is low, prefer 'not in my sources' over a guess.\nNo credentials ship with this template.",
        "height": 300,
        "width": 380
      },
      "id": "note",
      "name": "Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        1180,
        200
      ]
    }
  ],
  "connections": {
    "Ingest Trigger": {
      "main": [
        [
          {
            "node": "Chunk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Chunk": {
      "main": [
        [
          {
            "node": "Embed (attach your embeddings)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embed (attach your embeddings)": {
      "main": [
        [
          {
            "node": "Vector Store (attach your connection)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Ask (webhook)": {
      "main": [
        [
          {
            "node": "Retrieve top-k",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Retrieve top-k": {
      "main": [
        [
          {
            "node": "Answer Agent (attach your LLM)",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

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About this workflow

RAG Agent (template). Event-driven trigger; 8 nodes.

Source: https://github.com/alm-000/agentic-cookbook/blob/4bef51f564818910f7315d12bc764ce8407a3767/examples/rag-agent.json — original creator credit. Request a take-down →

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