{
  "id": "YoUP55V241b9F2ze",
  "meta": {
    "instanceId": "workflow-56553839",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:50.171073",
    "updatedAt": "2025-09-29T07:07:50.171085",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Qdrant Vector Database Embedding Pipeline",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "934ffad4-c93e-40c1-b4fd-1c09b518a9c3",
      "name": "Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "position": [
        460,
        -460
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "sv_lang_data",
          "cachedResultName": "sv_lang_data"
        },
        "embeddingBatchSize": 100
      },
      "credentials": {
        "qdrantApi": {
          "id": "vUb9tbEnXzu7uNUb",
          "name": "QdrantApi svenska"
        }
      },
      "typeVersion": 1.1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "4127d85d-45c9-4536-a15d-08af9dfdcfa8",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -960,
        -460
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "abb61b81-72e0-468e-855b-72402db828fc",
      "name": "Embeddings OpenAI",
      "type": "n8n-nodes-base.noOp",
      "position": [
        400,
        -240
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "kftHaZgVKiB9BmKU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "e9ae24be-6da9-4c04-b891-7e450f505e02",
      "name": "Default Data Loader",
      "type": "n8n-nodes-base.noOp",
      "position": [
        780,
        -180
      ],
      "parameters": {
        "options": {},
        "dataType": "binary"
      },
      "typeVersion": 1,
      "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
    },
    {
      "id": "9aff896d-4edb-494c-b84f-ede4e47db1e3",
      "name": "Character Text Splitter",
      "type": "n8n-nodes-base.noOp",
      "position": [
        800,
        20
      ],
      "parameters": {
        "separator": "\"chunk_id\""
      },
      "typeVersion": 1,
      "notes": "This textSplitterCharacterTextSplitter node performs automated tasks as part of the workflow."
    },
    {
      "id": "a083a47e-a835-4323-86a8-a2eaed226aaa",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -760,
        -680
      ],
      "parameters": {
        "color": 4,
        "width": 260,
        "height": 200,
        "content": "### Fetch JSON File List\n**Node:** FTP (all files)\n**Operation:** List\n**Path:** <file path>\n\nRecursively lists all .json files prepared for embedding."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "072ae9dc-c1cd-4ceb-954a-6b6b1b984e29",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -460,
        -660
      ],
      "parameters": {
        "color": 5,
        "height": 180,
        "content": "### Iterate Over Files\n**Node:** Loop Over Items\n\nBatches each file path individually for processing."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "08d852f2-f1de-42ce-b882-1dc1343ed967",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -160,
        -700
      ],
      "parameters": {
        "color": 4,
        "width": 420,
        "height": 220,
        "content": "### Download Each File\n**Node:** FTP (1 file download)\n\nDownloads the current file in binary form using:\n```\nPath = file_path/{{ $json.name }}\n```"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "905c3d74-2817-4aa3-865d-51e972cbbb5a",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        920,
        -80
      ],
      "parameters": {
        "color": 3,
        "width": 320,
        "height": 400,
        "content": "### Parse JSON Document (Default Data Loader)\n**Node:** Default Data Loader\n**Loader Type**: binary\n- Converts JSON structure into a document format compatible with embedding.\n\n\n### Split into Smaller Chunks\n**Node:** Character Text Splitter\n**Split by:** \"chunk_id\" or custom logic based on chunk formatting\n\nOptional node if chunk size normalization is required before embedding."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "9fb8e5be-3ee1-42b4-a858-40bc6afcf457",
      "name": "List all the files",
      "type": "n8n-nodes-base.ftp",
      "position": [
        -700,
        -460
      ],
      "parameters": {
        "path": "Oracle/AI/embedding/svenska",
        "operation": "list"
      },
      "credentials": {
        "ftp": {
          "id": "JufoKeNjsIgbCBWe",
          "name": "FTP account"
        }
      },
      "typeVersion": 1,
      "notes": "This ftp node performs automated tasks as part of the workflow."
    },
    {
      "id": "6f8d0390-5851-44ca-9712-0ae51f9a22ef",
      "name": "Loop over one item",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        -400,
        -460
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3,
      "notes": "This splitInBatches node performs automated tasks as part of the workflow."
    },
    {
      "id": "1c89a4a9-ec68-4c48-b7bc-74f5b30d8ac2",
      "name": "Downloading item",
      "type": "n8n-nodes-base.ftp",
      "position": [
        -40,
        -440
      ],
      "parameters": {
        "path": "=Oracle/AI/embedding/svenska/{{ $json.name }}",
        "binaryPropertyName": "binary.data"
      },
      "credentials": {
        "ftp": {
          "id": "JufoKeNjsIgbCBWe",
          "name": "FTP account"
        }
      },
      "typeVersion": 1,
      "alwaysOutputData": true,
      "notes": "This ftp node performs automated tasks as part of the workflow."
    },
    {
      "id": "01ca4ee3-5f1c-4977-a7f9-88e46db580ad",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        360,
        -960
      ],
      "parameters": {
        "width": 480,
        "height": 460,
        "content": "### Store in Vector DB\n**Node:** Qdrant Vector Store\n**Batch Size:** 100\n\n**Collection:** <collection_name>\nSends cleaned text chunks to OpenAI to get embeddings (1536 dim for text-embedding-ada-002)\n\n#### collection settings in Qdrant cluster\n```\nPUT /collections/{collection_name}\n{\n    \"vectors\": {\n      \"size\": 1536,\n      \"distance\": \"Cosine\"\n    }\n}\n```\nEmbed Chunks\n**Node:** Embeddings OpenAI\nPushes the embedded chunks (with metadata) into Qdrant for semantic retrieval."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "error-056e960d",
      "name": "Error Handler",
      "type": "n8n-nodes-base.stopAndError",
      "typeVersion": 1,
      "position": [
        1000,
        400
      ],
      "parameters": {
        "message": "Workflow execution error",
        "options": {}
      }
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "versionId": "c71fca63-26e9-4795-9a00-942dab6d07ce",
  "connections": {
    "abb61b81-72e0-468e-855b-72402db828fc": {
      "main": [
        [
          {
            "node": "error-handler-abb61b81-72e0-468e-855b-72402db828fc-88c3771f",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "description": "Automated workflow: Qdrant Vector Database Embedding Pipeline. This workflow integrates 9 different services: stickyNote, vectorStoreQdrant, ftp, documentDefaultDataLoader, stopAndError. It contains 14 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: Qdrant Vector Database Embedding Pipeline. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}