AutomationFlowsAI & RAG › Carga De Datos

Carga De Datos

Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.

Cron / scheduled trigger★★☆☆☆ complexityAI-powered6 nodesQdrant Vector StoreOllama EmbeddingsDocument Default Data LoaderRead Write FileText Splitter Recursive Character Text Splitter
AI & RAG Trigger: Cron / scheduled Nodes: 6 Complexity: ★★☆☆☆ AI nodes: yes Added:

This workflow follows the Documentdefaultdataloader → Textsplitterrecursivecharactertextsplitter 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": "Carga de datos",
  "nodes": [
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "test",
          "mode": "id"
        },
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "typeVersion": 1.3,
      "position": [
        16,
        -16
      ],
      "id": "e13afccc-0829-475b-aaed-7efc3eed04eb",
      "name": "Qdrant Vector Store",
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": "nomic-embed-text:latest"
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
      "typeVersion": 1,
      "position": [
        0,
        224
      ],
      "id": "cc686c97-b958-4886-b3bd-98145449d3e8",
      "name": "Embeddings Ollama",
      "credentials": {
        "ollamaApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "textSplittingMode": "custom",
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        160,
        224
      ],
      "id": "599576f1-72b4-407d-b7a0-0c4c94105b16",
      "name": "Default Data Loader"
    },
    {
      "parameters": {
        "fileSelector": "/home/node/.n8n-files/**/*.pdf",
        "options": {}
      },
      "type": "n8n-nodes-base.readWriteFile",
      "typeVersion": 1.1,
      "position": [
        -416,
        -16
      ],
      "id": "58855b61-394d-4515-9cce-f3a50857db38",
      "name": "Read/Write Files from Disk"
    },
    {
      "parameters": {
        "rule": {
          "interval": [
            {}
          ]
        }
      },
      "type": "n8n-nodes-base.scheduleTrigger",
      "typeVersion": 1.3,
      "position": [
        -624,
        -16
      ],
      "id": "72ac740b-4331-4000-b98a-fb603549740e",
      "name": "Schedule Trigger"
    },
    {
      "parameters": {
        "chunkSize": 1500,
        "chunkOverlap": 300,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        192,
        400
      ],
      "id": "bc50d8a1-6b7b-4725-b3e5-765bf6fe69d6",
      "name": "Recursive Character Text Splitter"
    }
  ],
  "connections": {
    "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
          }
        ]
      ]
    },
    "Read/Write Files from Disk": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Schedule Trigger": {
      "main": [
        [
          {
            "node": "Read/Write Files from Disk",
            "type": "main",
            "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": "da8b93de-56b9-4f7e-8009-1750c8dc475c",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "nodeGroups": [],
  "id": "izxZhdraekJaNWhl",
  "tags": []
}

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About this workflow

Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.

Source: https://gitlab.com/facundonsr/diia_data/-/blob/main/Carga_de_datos.json — original creator credit. Request a take-down →

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