AI Chat RAG with OpenAI

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 →

{
  "name": "dssat-rag",
  "nodes": [
    {
      "parameters": {
        "model": "sfr-embedding-mistral",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.2,
      "position": [
        -1520,
        192
      ],
      "id": "b104ae7b-75e4-46d0-8e60-a15bd029cb80",
      "name": "Embeddings OpenAI1",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "loader": "textLoader",
        "textSplittingMode": "custom",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        -1344,
        64
      ],
      "id": "3b090d38-d8bc-461e-a142-a6ac3535a5b2",
      "name": "Default Data Loader2"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.limit",
      "typeVersion": 1,
      "position": [
        -1072,
        -208
      ],
      "id": "93266923-b2f6-44bf-9bb1-42905ea68ae3",
      "name": "Limit"
    },
    {
      "parameters": {
        "assignments": {
          "assignments": [
            {
              "id": "1aac015e-af48-49cc-87cc-49d9c503fe09",
              "name": "output",
              "value": "=file processed",
              "type": "string"
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.set",
      "typeVersion": 3.4,
      "position": [
        -816,
        -96
      ],
      "id": "5b3255da-6816-4459-b2be-2b1c1c09f433",
      "name": "Edit Fields"
    },
    {
      "parameters": {
        "chunkSize": 10000,
        "chunkOverlap": 2000
      },
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -1216,
        208
      ],
      "id": "0b0d4fad-87e8-42c9-b6dd-52c2a67329f0",
      "name": "Character Text Splitter"
    },
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "dssat-rag",
          "mode": "list",
          "cachedResultName": "dssat-rag"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "typeVersion": 1.3,
      "position": [
        -1600,
        -128
      ],
      "id": "68ac9a25-9d4e-4fc3-ab5d-e82a7d651ed6",
      "name": "Qdrant Vector Store1",
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "value": "fsjdfahdggfajghajdghkjfkfjhasjfaaaa",
          "mode": "id"
        },
        "event": "fileCreated",
        "options": {}
      },
      "type": "n8n-nodes-base.googleDriveTrigger",
      "typeVersion": 1,
      "position": [
        -1920,
        -144
      ],
      "id": "23c25c25-be46-4c21-9d03-250d878fa2f4",
      "name": "Google Drive Trigger",
      "credentials": {
        "googleDriveOAuth2Api": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "Embeddings OpenAI1": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader2": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Limit": {
      "main": [
        [
          {
            "node": "Edit Fields",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Edit Fields": {
      "main": [
        []
      ]
    },
    "Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader2",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store1": {
      "main": [
        [
          {
            "node": "Limit",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive Trigger": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store1",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate",
    "availableInMCP": false
  },
  "versionId": "b2a49cfa-596f-4593-9ef2-eedb8bc3547d",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "daf6x7QwOhRZFxpe",
  "tags": []
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• openAiApi

About this workflow

dssat-rag. Uses chatTrigger, embeddingsOpenAi, agent, documentDefaultDataLoader. Chat trigger; 11 nodes.

Source: https://github.com/itswael/DSSAT-RAG/blob/5f16175b78506441eb35654085f4be328a3ce11a/n8n/dssat-rag.json — original creator credit. Request a take-down →

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