{
  "id": "a58HZKwcOy7lmz56",
  "meta": {
    "instanceId": "workflow-6fc13fb0",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:54.462282",
    "updatedAt": "2025-09-29T07:07:54.462290",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "06a34e3b-519a-4b48-afd0-4f2b51d2105d",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        4980,
        740
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "9213003d-433f-41ab-838b-be93860261b2",
      "name": "GitHub",
      "type": "n8n-nodes-base.github",
      "position": [
        5200,
        740
      ],
      "parameters": {
        "owner": {
          "__rl": true,
          "mode": "name",
          "value": "mrscoopers"
        },
        "filePath": "Top_1000_IMDB_movies.csv",
        "resource": "file",
        "operation": "get",
        "repository": {
          "__rl": true,
          "mode": "list",
          "value": "n8n_demo",
          "cachedResultUrl": "{{ $env.WEBHOOK_URL }}",
          "cachedResultName": "n8n_demo"
        },
        "additionalParameters": {}
      },
      "credentials": {
        "githubApi": {
          "id": "VbfC0mqEq24vPIwq",
          "name": "GitHub n8n demo"
        }
      },
      "typeVersion": 1,
      "notes": "This github node performs automated tasks as part of the workflow."
    },
    {
      "id": "9850d1a9-3a6f-44c0-9f9d-4d20fda0b602",
      "name": "Extract from File",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        5360,
        740
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1,
      "notes": "This extractFromFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "7704f993-b1c9-477a-8b5a-77dc2cb68161",
      "name": "Embeddings OpenAI",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5560,
        940
      ],
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "deYJUwkgL1Euu613",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "bc6dd8e5-0186-4bf9-9c60-2eab6d9b6520",
      "name": "Default Data Loader",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5700,
        960
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "movie_name",
                "value": "={{ $('Extract from File').item.json['Movie Name'] }}"
              },
              {
                "name": "movie_release_date",
                "value": "={{ $('Extract from File').item.json['Year of Release'] }}"
              },
              {
                "name": "movie_description",
                "value": "={{ $('Extract from File').item.json.Description }}"
              }
            ]
          }
        },
        "jsonData": "={{ $('Extract from File').item.json.Description }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1,
      "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
    },
    {
      "id": "f87ea014-fe79-444b-88ea-0c4773872b0a",
      "name": "Token Splitter",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5700,
        1140
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This textSplitterTokenSplitter node performs automated tasks as part of the workflow."
    },
    {
      "id": "d8d28cec-c8e8-4350-9e98-cdbc6da54988",
      "name": "Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5600,
        740
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "imdb"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "Zin08PA0RdXVUKK7",
          "name": "QdrantApi n8n demo"
        }
      },
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "f86e03dc-12ea-4929-9035-4ec3cf46e300",
      "name": "When chat message received",
      "type": "n8n-nodes-base.noOp",
      "position": [
        4920,
        1140
      ],
      "webhookId": "71bfe0f8-227e-466b-9d07-69fd9fe4a27b",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "ead23ef6-2b6b-428d-b412-b3394bff8248",
      "name": "OpenAI Chat Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5040,
        1340
      ],
      "parameters": {
        "model": "gpt-4o-mini",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "deYJUwkgL1Euu613",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 1,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "7ab936e1-aac8-43bc-a497-f2d02c2c19e5",
      "name": "Call n8n Workflow Tool",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5320,
        1340
      ],
      "parameters": {
        "name": "movie_recommender",
        "schemaType": "manual",
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "a58HZKwcOy7lmz56"
        },
        "description": "Call this tool to get a list of recommended movies from a vector database. ",
        "inputSchema": "{\n\"type\": \"object\",\n\"properties\": {\n\t\"positive_example\": {\n      \"type\": \"string\",\n      \"description\": \"A string with a movie description matching the user's positive recommendation request\"\n    },\n    \"negative_example\": {\n      \"type\": \"string\",\n      \"description\": \"A string with a movie description matching the user's negative anti-recommendation reuqest\"\n    }\n}\n}",
        "specifyInputSchema": true
      },
      "typeVersion": 1.2,
      "notes": "This toolWorkflow node performs automated tasks as part of the workflow."
    },
    {
      "id": "ce55f334-698b-45b1-9e12-0eaa473187d4",
      "name": "Window Buffer Memory",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5160,
        1340
      ],
      "parameters": {},
      "typeVersion": 1.2,
      "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."
    },
    {
      "id": "41c1ee11-3117-4765-98fc-e56cc6fc8fb2",
      "name": "Execute Workflow Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        5640,
        1600
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "db8d6ab6-8cd2-4a8c-993d-f1b7d7fdcffd",
      "name": "Merge",
      "type": "n8n-nodes-base.merge",
      "position": [
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      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineAll"
      },
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "c7bc5e04-22b1-40db-ba74-1ab234e51375",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        7260,
        1480
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "result"
      },
      "typeVersion": 1,
      "notes": "This splitOut node performs automated tasks as part of the workflow."
    },
    {
      "id": "a2002d2e-362a-49eb-a42d-7b665ddd67a0",
      "name": "Split Out1",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        7140,
        1260
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "result.points"
      },
      "typeVersion": 1,
      "notes": "This splitOut node performs automated tasks as part of the workflow."
    },
    {
      "id": "f69a87f1-bfb9-4337-9350-28d2416c1580",
      "name": "Merge1",
      "type": "n8n-nodes-base.merge",
      "position": [
        7520,
        1400
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "fieldsToMatchString": "id"
      },
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "b2f2529e-e260-4d72-88ef-09b804226004",
      "name": "Aggregate",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        7960,
        1400
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "response"
      },
      "typeVersion": 1,
      "notes": "This aggregate node performs automated tasks as part of the workflow."
    },
    {
      "id": "bedea10f-b4de-4f0e-9d60-cc8117a2b328",
      "name": "AI Agent",
      "type": "n8n-nodes-base.noOp",
      "position": [
        5140,
        1140
      ],
      "parameters": {
        "options": {
          "systemMessage": "You are a Movie Recommender Tool using a Vector Database under the hood. Provide top-3 movie recommendations returned by the database, ordered by their recommendation score, but not showing the score to the user."
        }
      },
      "typeVersion": 1.6,
      "notes": "This agent node performs automated tasks as part of the workflow."
    },
    {
      "id": "e04276b5-7d69-437b-bf4f-9717808cc8f6",
      "name": "Embedding Recommendation Request with Open AI",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        5900,
        1460
      ],
      "parameters": {
        "url": "{{ $env.API_BASE_URL }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "bodyParameters": {
          "parameters": [
            {
              "name": "input",
              "value": "={{ $json.query.positive_example }}"
            },
            {
              "name": "model",
              "value": "text-embedding-3-small"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer $OPENAI_API_KEY"
            }
          ]
        },
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "openAiApi": {
          "id": "deYJUwkgL1Euu613",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "68e99f06-82f5-432c-8b31-8a1ae34981a6",
      "name": "Embedding Anti-Recommendation Request with Open AI",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        5920,
        1660
      ],
      "parameters": {
        "url": "{{ $env.API_BASE_URL }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendHeaders": true,
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "bodyParameters": {
          "parameters": [
            {
              "name": "input",
              "value": "={{ $json.query.negative_example }}"
            },
            {
              "name": "model",
              "value": "text-embedding-3-small"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer $OPENAI_API_KEY"
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          ]
        },
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "openAiApi": {
          "id": "deYJUwkgL1Euu613",
          "name": "OpenAi account 2"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "ecb1d7e1-b389-48e8-a34a-176bfc923641",
      "name": "Extracting Embedding",
      "type": "n8n-nodes-base.set",
      "position": [
        6180,
        1460
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "01a28c9d-aeb1-48bb-8a73-f8bddbd73460",
              "name": "positive_example",
              "type": "array",
              "value": "={{ $json.data[0].embedding }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "4ed11142-a734-435f-9f7a-f59e2d423076",
      "name": "Extracting Embedding1",
      "type": "n8n-nodes-base.set",
      "position": [
        6180,
        1660
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "01a28c9d-aeb1-48bb-8a73-f8bddbd73460",
              "name": "negative_example",
              "type": "array",
              "value": "={{ $json.data[0].embedding }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "ce3aa9bc-a5b1-4529-bff5-e0dba43b99f3",
      "name": "Calling Qdrant Recommendation API",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        6840,
        1500
      ],
      "parameters": {
        "url": "{{ $env.WEBHOOK_URL }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"query\": {\n    \"recommend\": {\n      \"positive\": [[{{ $json.positive_example }}]],\n      \"negative\": [[{{ $json.negative_example }}]],\n      \"strategy\": \"average_vector\"\n    }\n  },\n  \"limit\":3\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "qdrantApi": {
          "id": "Zin08PA0RdXVUKK7",
          "name": "QdrantApi n8n demo"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "9b8a6bdb-16fe-4edc-86d0-136fe059a777",
      "name": "Retrieving Recommended Movies Meta Data",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        7060,
        1460
      ],
      "parameters": {
        "url": "{{ $env.WEBHOOK_URL }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n    \"ids\": [\"{{ $json.result.points[0].id }}\", \"{{ $json.result.points[1].id }}\", \"{{ $json.result.points[2].id }}\"],\n    \"with_payload\":true\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "qdrantApi": {
          "id": "Zin08PA0RdXVUKK7",
          "name": "QdrantApi n8n demo"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "28cdcad5-3dca-48a1-b626-19eef657114c",
      "name": "Selecting Fields Relevant for Agent",
      "type": "n8n-nodes-base.set",
      "position": [
        7740,
        1400
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "b4b520a5-d0e2-4dcb-af9d-0b7748fd44d6",
              "name": "movie_recommendation_score",
              "type": "number",
              "value": "={{ $json.score }}"
            },
            {
              "id": "c9f0982e-bd4e-484b-9eab-7e69e333f706",
              "name": "movie_description",
              "type": "string",
              "value": "={{ $json.payload.content }}"
            },
            {
              "id": "7c7baf11-89cd-4695-9f37-13eca7e01163",
              "name": "movie_name",
              "type": "string",
              "value": "={{ $json.payload.metadata.movie_name }}"
            },
            {
              "id": "1d1d269e-43c7-47b0-859b-268adf2dbc21",
              "name": "movie_release_year",
              "type": "string",
              "value": "={{ $json.payload.metadata.release_year }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "56e73f01-5557-460a-9a63-01357a1b456f",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        5560,
        1780
      ],
      "parameters": {
        "content": "Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "cce5250e-0285-4fd0-857f-4b117151cd8b",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        4680,
        720
      ],
      "parameters": {
        "content": "Uploading data (movies and their descriptions) to Qdrant Vector Store\n"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    }
  ],
  "active": false,
  "pinData": {
    "Execute Workflow Trigger": [
      {
        "json": {
          "query": {
            "negative_example": "horror bloody movie",
            "positive_example": "romantic comedy"
          }
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "versionId": "40d3669b-d333-435f-99fc-db623deda2cb",
  "connections": {
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  "description": "Automated workflow: Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. This workflow integrates 20 different services: stickyNote, vectorStoreQdrant, merge, lmChatOpenAi, github. It contains 38 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}