{
  "name": "qdrant",
  "nodes": [
    {
      "parameters": {
        "options": {
          "allowFileUploads": true
        }
      },
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "typeVersion": 1.1,
      "position": [
        0,
        0
      ],
      "id": "ded71ab8-f674-4f2c-8622-71b3bdafab71",
      "name": "When chat message received"
    },
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "REPLACE_WITH_RESOURCE",
          "mode": "id"
        },
        "embeddingBatchSize": 8,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "typeVersion": 1.1,
      "position": [
        1220,
        -140
      ],
      "id": "58b89b95-1b92-47d3-a4e5-fca73da08edb",
      "name": "Qdrant Vector Store",
      "retryOnFail": false
    },
    {
      "parameters": {
        "model": "nomic-embed-text:latest"
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
      "typeVersion": 1,
      "position": [
        1120,
        100
      ],
      "id": "580ab2d4-1147-48c6-8c51-f3582e9f980e",
      "name": "Embeddings Ollama"
    },
    {
      "parameters": {
        "jsonMode": "expressionData",
        "jsonData": "={{ $json.text }}",
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "Onderwerp",
                "value": "={{ $('Extract from File').item.json.info.Title }}"
              },
              {
                "name": "soort document",
                "value": "={{ $('When chat message received').item.json.files[0].fileExtension }}"
              },
              {
                "name": "auteur",
                "value": "={{ $('Extract from File').item.json.info.Author }}"
              },
              {
                "name": "versie",
                "value": "={{ $('Extract from File').item.json.version }}"
              }
            ]
          }
        }
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1,
      "position": [
        1320,
        80
      ],
      "id": "39dc3d88-7cd0-48c4-b574-4c4eaf439030",
      "name": "Default Data Loader"
    },
    {
      "parameters": {
        "chunkSize": 500,
        "chunkOverlap": 150
      },
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "typeVersion": 1,
      "position": [
        1320,
        260
      ],
      "id": "3a1e0e7c-6686-4a05-998d-13bbdb8220f7",
      "name": "Token Splitter"
    },
    {
      "parameters": {
        "conditions": {
          "string": [
            {
              "value1": "={{ $json.files[0].fileExtension }}",
              "operation": "contains",
              "value2": "pdf"
            }
          ]
        }
      },
      "name": "IF: PDF",
      "type": "n8n-nodes-base.if",
      "typeVersion": 1,
      "position": [
        240,
        0
      ],
      "id": "ef897b9f-b009-4d1d-84ce-615c914094ac"
    },
    {
      "parameters": {
        "operation": "pdf",
        "binaryPropertyName": "=data0",
        "options": {}
      },
      "type": "n8n-nodes-base.extractFromFile",
      "typeVersion": 1,
      "position": [
        560,
        -140
      ],
      "id": "c5d8965c-f8f4-4986-912e-2d38eb6ec0d7",
      "name": "Extract from File"
    },
    {
      "parameters": {
        "fieldToSplitOut": "text",
        "options": {}
      },
      "type": "n8n-nodes-base.splitOut",
      "typeVersion": 1,
      "position": [
        740,
        -140
      ],
      "id": "bd7b2226-c1e3-4d1a-8578-81f4a718dffb",
      "name": "Split Out"
    },
    {
      "parameters": {
        "jsCode": "const chunks = [];\nconst chunkSize = 1000; // in characters (tokens = ±0.75*karakters)\nconst overlap = 200;\n\nconst input = items[0].json.text;\n\nfor (let i = 0; i < input.length; i += chunkSize - overlap) {\n  chunks.push({ json: { text: input.slice(i, i + chunkSize) } });\n}\n\nreturn chunks.map(c => ({ json: c.json }));"
      },
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        960,
        -140
      ],
      "id": "d7e3690e-fab7-4d23-ba0b-4c4cd215e6a8",
      "name": "Code"
    },
    {
      "id": "4ce1e530-b605-5a17-92d9-a5f4c5eebff2",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        -140
      ],
      "parameters": {
        "content": "# qdrant\n\n## Purpose and structure\nThis folder contains the **qdrant** workflow. Its executable nodes use `chatTrigger`, `code`, `documentDefaultDataLoader`, `embeddingsOllama`, `extractFromFile`, `if`, `splitOut`, `textSplitterTokenSplitter`, `vectorStoreQdrant`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nWhen chat message received\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/ums11/indproject/blob/a6989aaa94e1557def997c801537378470dc382b/qdrant.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "connections": {
    "When chat message received": {
      "main": [
        [
          {
            "node": "IF: PDF",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings Ollama": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Token Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "IF: PDF": {
      "main": [
        [
          {
            "node": "Extract from File",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract from File": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store": {
      "main": [
        []
      ]
    },
    "Split Out": {
      "main": [
        [
          {
            "node": "Code",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Code": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1"
  }
}