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Pd Automacao N8n Fluxo RAG

pd_automacao_n8n_fluxo_rag. Uses googleDrive, documentDefaultDataLoader, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 6 nodes.

Event trigger★★☆☆☆ complexityAI-powered6 nodesGoogle DriveDocument Default Data LoaderOpenAI EmbeddingsSupabase Vector StoreMcp Trigger
AI & RAG Trigger: Event Nodes: 6 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Documentdefaultdataloader → OpenAI Embeddings recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "name": "pd_automacao_n8n_fluxo_rag",
  "nodes": [
    {
      "parameters": {
        "operation": "download",
        "fileId": {
          "__rl": true,
          "value": "1nSDfKFNjIb5adTQxpL8XLLoHZtWHdOwn",
          "mode": "list",
          "cachedResultName": "Intelig\u00eancia_artificial.pdf",
          "cachedResultUrl": "https://drive.google.com/file/d/1nSDfKFNjIb5adTQxpL8XLLoHZtWHdOwn/view?usp=drivesdk"
        },
        "options": {
          "googleFileConversion": {
            "conversion": {
              "docsToFormat": "application/pdf"
            }
          },
          "fileName": "dados.pdf"
        }
      },
      "type": "n8n-nodes-base.googleDrive",
      "typeVersion": 3,
      "position": [
        96,
        -32
      ],
      "id": "ae1c9b95-5f19-4ee2-9520-4ce24fc33985",
      "name": "Download file",
      "credentials": {
        "googleDriveOAuth2Api": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        464,
        128
      ],
      "id": "41f2fcd3-7283-444a-83f5-c4ee7ca6d8b1",
      "name": "Default Data Loader"
    },
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.2,
      "position": [
        256,
        128
      ],
      "id": "95d7e0b2-334d-430b-8ead-166c065194d8",
      "name": "Embeddings OpenAI",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "tableName": {
          "__rl": true,
          "value": "documents",
          "mode": "list",
          "cachedResultName": "documents"
        },
        "options": {
          "queryName": "match_documents"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1.3,
      "position": [
        304,
        -32
      ],
      "id": "1e84b180-76d2-4d99-a4f6-2b6d1a465fab",
      "name": "Supabase Vector Store - inclus\u00e3o de arquivo",
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolDescription": "Get the data from the Intelig\u00eancia Artificial data file. If you did not find the answear in the data file, answear: \"Desculpe, eu n\u00e3o encontrei a informa\u00e7\u00e3o solicitada na base de dados!\"",
        "tableName": {
          "__rl": true,
          "value": "new_vector",
          "mode": "list",
          "cachedResultName": "new_vector"
        },
        "options": {
          "queryName": "match_new_vector"
        }
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1.3,
      "position": [
        -224,
        -96
      ],
      "id": "dd5fd601-3dc1-4547-939a-7e2145147910",
      "name": "Supabase Vector Store - busca no arquivo",
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "path": "0ae7788b-5830-4509-be59-bd9ac13b95cf"
      },
      "type": "@n8n/n8n-nodes-langchain.mcpTrigger",
      "typeVersion": 2,
      "position": [
        -464,
        -304
      ],
      "id": "6a1d530d-08a6-4a35-ad47-b18df67ce34c",
      "name": "MCP Server Trigger"
    }
  ],
  "connections": {
    "Download file": {
      "main": [
        [
          {
            "node": "Supabase Vector Store - inclus\u00e3o de arquivo",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Supabase Vector Store - inclus\u00e3o de arquivo",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Vector Store - inclus\u00e3o de arquivo",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Supabase Vector Store - busca no arquivo",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Supabase Vector Store - busca no arquivo": {
      "ai_tool": [
        [
          {
            "node": "MCP Server Trigger",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": true
  },
  "versionId": "8e3d8c7e-d451-49fe-ab30-345033886b6d",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "BtykW5DcCytnQJR0",
  "tags": []
}

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About this workflow

pd_automacao_n8n_fluxo_rag. Uses googleDrive, documentDefaultDataLoader, embeddingsOpenAi, vectorStoreSupabase. Event-driven trigger; 6 nodes.

Source: https://github.com/kleberga/pd_automacao_n8n/blob/c295aae25a4598d3089c2da67d1fec1984366b02/pd_automacao_n8n_fluxo_rag.json — original creator credit. Request a take-down →

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