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RAG Qdrant

RAG_qdrant. Uses formTrigger, embeddingsOllama, vectorStoreQdrant, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Event trigger★★☆☆☆ complexityAI-powered5 nodesForm TriggerOllama EmbeddingsQdrant Vector StoreDocument Default Data LoaderText Splitter Recursive Character Text Splitter
AI & RAG Trigger: Event Nodes: 5 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Documentdefaultdataloader → Form 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
{
  "name": "RAG_qdrant",
  "nodes": [
    {
      "parameters": {
        "formTitle": "subir",
        "formDescription": "archivo",
        "formFields": {
          "values": [
            {
              "fieldLabel": "data",
              "fieldType": "file",
              "acceptFileTypes": "*.pdf",
              "requiredField": true
            }
          ]
        },
        "options": {}
      },
      "type": "n8n-nodes-base.formTrigger",
      "typeVersion": 2.3,
      "position": [
        0,
        0
      ],
      "id": "6c6d9cdd-a9f9-4045-88dd-91abd116c808",
      "name": "subir"
    },
    {
      "parameters": {
        "model": "nomic-embed-text-v2-moe:latest"
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
      "typeVersion": 1,
      "position": [
        160,
        208
      ],
      "id": "583307e9-a9ed-4775-ba74-a3cb3b7fca17",
      "name": "Embeddings Ollama",
      "credentials": {
        "ollamaApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "copilot",
          "mode": "id"
        },
        "embeddingBatchSize": 512,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "typeVersion": 1.3,
      "position": [
        208,
        0
      ],
      "id": "36f1e419-3497-4dd2-8f48-30d35198ff1d",
      "name": "Qdrant Vector Store",
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "loader": "pdfLoader",
        "textSplittingMode": "custom",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        288,
        208
      ],
      "id": "d183e900-0dbe-48e2-a909-8a48fadae7c7",
      "name": "Default Data Loader"
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 50,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        256,
        384
      ],
      "id": "d3099300-bf6c-48b0-b93f-91f4b19aaf5f",
      "name": "Recursive Character Text Splitter"
    }
  ],
  "connections": {
    "subir": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "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
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1",
    "binaryMode": "separate"
  },
  "versionId": "545b7820-52af-4ae2-a134-356467ab7584",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "gOKbcJ019mt6aIDF",
  "tags": [
    {
      "name": "sinfallas",
      "id": "U2MIWXcoDivkiM54",
      "updatedAt": "2026-05-23T20:06:29.375Z",
      "createdAt": "2026-05-23T20:06:29.375Z"
    },
    {
      "name": "eratostenes",
      "id": "FwwEm2jcQso7z9sQ",
      "updatedAt": "2026-05-23T20:06:29.382Z",
      "createdAt": "2026-05-23T20:06:29.382Z"
    },
    {
      "name": "ia",
      "id": "0lw1czJoo3nYYMgU",
      "updatedAt": "2026-05-23T20:06:29.384Z",
      "createdAt": "2026-05-23T20:06:29.384Z"
    },
    {
      "name": "rag",
      "id": "rBhZmhiZLRNqHzQL",
      "updatedAt": "2026-05-23T20:06:29.390Z",
      "createdAt": "2026-05-23T20:06:29.390Z"
    },
    {
      "name": "cohere",
      "id": "mA9TF1MkT0fmMA7m",
      "updatedAt": "2026-05-23T20:06:29.390Z",
      "createdAt": "2026-05-23T20:06:29.390Z"
    }
  ]
}

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About this workflow

RAG_qdrant. Uses formTrigger, embeddingsOllama, vectorStoreQdrant, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Source: https://github.com/tecno-consultores/ISP-Copilot/blob/main/n8n/workflows/RAG_qdrant.json — original creator credit. Request a take-down →

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