AutomationFlowsAI & RAG › N8n Workflow Fixed

N8n Workflow Fixed

N8N Workflow Fixed. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 22 nodes.

Chat trigger trigger★★★★☆ complexityAI-powered22 nodesChat TriggerAgentOpenAI ChatMemory Buffer WindowText Splitter Recursive Character Text SplitterOpenAI EmbeddingsSupabase Vector StoreDocument Default Data Loader
AI & RAG Trigger: Chat trigger Nodes: 22 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Agent → Chat Trigger 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
{
  "nodes": [
    {
      "parameters": {
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.4,
      "position": [
        912,
        1168
      ],
      "id": "9d0ba527-cb5e-4a44-a6b3-c09fca3aba3d",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json.chatInput }}",
        "options": {
          "systemMessage": "You are a helpful AI assistant with access to a knowledge base. Use the document retrieval tool to find relevant information from uploaded documents to answer user questions accurately. Always cite information from the retrieved documents when available."
        }
      },
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        1200,
        960
      ],
      "id": "1b303e56-784c-4601-8618-87fc4159c240",
      "name": "AI Agent"
    },
    {
      "parameters": {
        "model": {
          "__rl": true,
          "value": "gpt-4o-mini",
          "mode": "list",
          "cachedResultName": "gpt-4o-mini"
        },
        "builtInTools": {},
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.3,
      "position": [
        1136,
        1184
      ],
      "id": "da4c33ab-fba1-49d6-b0ac-526adccb0ab2",
      "name": "OpenAI Chat Model",
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {},
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        1264,
        1184
      ],
      "id": "fabc1852-49e8-48f4-bb2f-e482bc2be6c1",
      "name": "Simple Memory"
    },
    {
      "parameters": {
        "chunkOverlap": 200,
        "options": {}
      },
      "id": "98f79cf2-b1c8-4f42-8da1-95d97c866e35",
      "name": "Chunk Text",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        1200,
        2032
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "9baf4ab7-aef2-4162-9ebd-1b2fbb8277da",
      "name": "OpenAI Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.1,
      "position": [
        992,
        1840
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "tableName": {
          "__rl": true,
          "mode": "id",
          "value": "documents"
        },
        "options": {
          "queryName": "match_documents"
        }
      },
      "id": "f4478a93-662f-4383-b392-dc679545300c",
      "name": "Store in Supabase",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        1040,
        1584
      ],
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "retrieve-as-tool",
        "toolName": "document_search",
        "toolDescription": "Search the knowledge base for relevant information from uploaded documents. Use this tool to find answers to user questions.",
        "tableName": {
          "__rl": true,
          "mode": "id",
          "value": "documents"
        },
        "topK": 5,
        "options": {
          "queryName": "match_documents",
          "metadata": {
            "metadataValues": [
              {
                "name": "user_id",
                "value": "={{ $json.user_id }}"
              }
            ]
          }
        }
      },
      "id": "fd13a3ce-06c1-4fda-8137-18fa2bab4f0b",
      "name": "Retrieve from Supabase",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        1392,
        1184
      ],
      "credentials": {
        "supabaseApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "eeefedf3-739c-44bb-acc2-d08afa0bcdd3",
      "name": "OpenAI Embeddings for Retrieval",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.1,
      "position": [
        1472,
        1392
      ],
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "options": {}
      },
      "id": "fbfdb66b-01ab-4fee-96f6-3d845a79b22e",
      "name": "Load Document",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1,
      "position": [
        1120,
        1840
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "upload-document",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "b64470b3-0d72-48cc-a0b1-32bf9f705ea9",
      "name": "Document Upload Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        768,
        1616
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "parse-and-ingest",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "77068411-ab29-4ebe-8a4a-19b9f38405f1",
      "name": "Parse Questionnaire Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        2048,
        1760
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "http://localhost:8000/api/parse",
        "sendBody": true,
        "contentType": "multipart-form-data",
        "bodyParameters": {
          "parameters": [
            {
              "parameterType": "formBinaryData",
              "name": "questionnaire",
              "inputDataFieldName": "={{ $('Parse Questionnaire Webhook').item.binary.questionnaire }}"
            },
            {
              "parameterType": "formBinaryData",
              "name": "references",
              "inputDataFieldName": "={{ $('Parse Questionnaire Webhook').item.binary.references }}"
            },
            {
              "parameterType": "formData",
              "name": "user_id",
              "value": "={{ $('Parse Questionnaire Webhook').item.json.body.user_id }}"
            }
          ]
        },
        "options": {}
      },
      "id": "a5f69458-6be0-4136-bdd5-d135cbd66b2d",
      "name": "Call FastAPI Parse",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        2272,
        1760
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"run_id\": \"{{ $('Call FastAPI Parse').item.json.run_id }}\",\n  \"question_count\": {{ $('Call FastAPI Parse').item.json.question_count }},\n  \"chunks_created\": {{ $('Call FastAPI Parse').item.json.chunks_created }}\n}",
        "options": {}
      },
      "id": "6e786949-3a32-4879-9893-b3142e224977",
      "name": "Return Parse Results",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.5,
      "position": [
        2496,
        1760
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "generate",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "20be0f34-b957-49ec-95b8-9ff6ebda0c77",
      "name": "Generate Answers Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        2048,
        1536
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "http://localhost:8000/api/generate",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"run_id\": \"{{ $('Generate Answers Webhook').item.json.body.run_id }}\",\n  \"user_id\": \"{{ $('Generate Answers Webhook').item.json.body.user_id }}\"\n}",
        "options": {}
      },
      "id": "af071401-f3e3-46d6-8317-b8829e80b661",
      "name": "Call FastAPI Generate",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        2272,
        1536
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"status\": \"{{ $('Call FastAPI Generate').item.json.status }}\",\n  \"run_id\": \"{{ $('Call FastAPI Generate').item.json.run_id }}\",\n  \"summary\": {{ JSON.stringify($('Call FastAPI Generate').item.json.summary) }}\n}",
        "options": {}
      },
      "id": "13ef60a0-af16-4544-968d-a9902d1512f2",
      "name": "Return Generation Results",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.5,
      "position": [
        2496,
        1536
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "export",
        "responseMode": "responseNode",
        "options": {}
      },
      "id": "10f59839-3000-4192-aa9c-6773bf1ea5d0",
      "name": "Export DOCX Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2.1,
      "position": [
        2048,
        1312
      ]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "http://localhost:8000/api/export",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={\n  \"run_id\": \"{{ $('Export DOCX Webhook').item.json.body.run_id }}\"\n}",
        "options": {
          "response": {
            "response": {
              "responseFormat": "file"
            }
          }
        }
      },
      "id": "8c161518-61fe-40df-9f90-7647c1324236",
      "name": "Call FastAPI Export",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.4,
      "position": [
        2272,
        1312
      ]
    },
    {
      "parameters": {
        "respondWith": "binary",
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
              },
              {
                "name": "Content-Disposition",
                "value": "attachment; filename=\"questionnaire.docx\""
              }
            ]
          }
        }
      },
      "id": "9e252198-4aa1-4aef-ba0f-595245da5524",
      "name": "Return DOCX File",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.5,
      "position": [
        2496,
        1312
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={\n  \"response\": \"{{ $('AI Agent').item.json.output }}\",\n  \"sessionId\": \"{{ $('When chat message received').item.json.sessionId }}\"\n}",
        "options": {}
      },
      "id": "aab7631c-03cf-4993-9593-2028c278a1c6",
      "name": "Return Chat Response",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.5,
      "position": [
        2048,
        2208
      ]
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "{\n  \"status\": \"success\",\n  \"message\": \"Document uploaded and indexed successfully\"\n}",
        "options": {}
      },
      "id": "abb76596-de69-4374-8e4c-3211c583ceab",
      "name": "Return Upload Confirmation",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.5,
      "position": [
        2048,
        1984
      ]
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Return Chat Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Simple Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chunk Text": {
      "ai_textSplitter": [
        [
          {
            "node": "Load Document",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Store in Supabase",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Store in Supabase": {
      "main": [
        [
          {
            "node": "Return Upload Confirmation",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Retrieve from Supabase": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Embeddings for Retrieval": {
      "ai_embedding": [
        [
          {
            "node": "Retrieve from Supabase",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Load Document": {
      "ai_document": [
        [
          {
            "node": "Store in Supabase",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Document Upload Webhook": {
      "main": [
        [
          {
            "node": "Store in Supabase",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Parse Questionnaire Webhook": {
      "main": [
        [
          {
            "node": "Call FastAPI Parse",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call FastAPI Parse": {
      "main": [
        [
          {
            "node": "Return Parse Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Generate Answers Webhook": {
      "main": [
        [
          {
            "node": "Call FastAPI Generate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call FastAPI Generate": {
      "main": [
        [
          {
            "node": "Return Generation Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Export DOCX Webhook": {
      "main": [
        [
          {
            "node": "Call FastAPI Export",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Call FastAPI Export": {
      "main": [
        [
          {
            "node": "Return DOCX File",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "meta": {
    "templateCredsSetupCompleted": true
  }
}

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About this workflow

N8N Workflow Fixed. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 22 nodes.

Source: https://github.com/01Vishwa/Dchat/blob/55cbbba7bd26ec357374b0054bcdab1e1e68d41b/n8n/n8n_workflow_fixed.json — original creator credit. Request a take-down →

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