Ingesta

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 →

{
  "name": "Ingesta",
  "nodes": [
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "reglamento_taekwondo",
          "mode": "list",
          "cachedResultName": "reglamento_taekwondo"
        },
        "options": {}
      },
      "id": "543a031e-31bc-4486-ae68-8f8378766774",
      "name": "Qdrant Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "position": [
        -2208,
        240
      ],
      "typeVersion": 1.2,
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "model": "nomic-embed-text:latest"
      },
      "id": "5ef3d009-44fe-48f4-97cc-3015a3b1df46",
      "name": "Embeddings Ollama",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
      "position": [
        -2352,
        448
      ],
      "typeVersion": 1,
      "credentials": {
        "ollamaApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "dataType": "binary",
        "options": {}
      },
      "id": "a1c0f4fa-ebff-429e-9483-441242b46423",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        -2112,
        448
      ],
      "typeVersion": 1
    },
    {
      "parameters": {
        "chunkSize": 200,
        "chunkOverlap": 50,
        "options": {}
      },
      "id": "a076d0e6-c03a-436d-b950-b9bbc2e58bf0",
      "name": "Recursive Character Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        -2112,
        672
      ],
      "typeVersion": 1
    },
    {
      "parameters": {
        "operation": "executeQuery",
        "query": "INSERT INTO documentos(nombre) \nVALUES ('{{ $json.metadata.pdf.info.Title }}');",
        "options": {}
      },
      "type": "n8n-nodes-base.postgres",
      "typeVersion": 2.6,
      "position": [
        -1808,
        240
      ],
      "id": "55637cea-1bd3-43f0-bf7f-bc0ebf93e4d4",
      "name": "Execute a SQL query",
      "credentials": {
        "postgres": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "formTitle": "Add your file here",
        "formFields": {
          "values": [
            {
              "fieldLabel": "File",
              "fieldType": "file",
              "acceptFileTypes": ".pdf, .md, .txt",
              "requiredField": true
            }
          ]
        },
        "options": {}
      },
      "id": "94d9f919-62a3-4290-be4d-889a3778ef07",
      "name": "On form submission",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -2384,
        240
      ],
      "typeVersion": 2.2
    }
  ],
  "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
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store": {
      "main": [
        [
          {
            "node": "Execute a SQL query",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "On form submission": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": false,
  "settings": {
    "executionOrder": "v1",
    "availableInMCP": false
  },
  "versionId": "c7b87c5c-3e0c-4327-bfcb-d31986f1b137",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "49EhNMcysLClBNcXXdWvp",
  "tags": []
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• ollamaApi
• postgres
• qdrantApi

About this workflow

Ingesta. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Source: https://github.com/Diana27106/tfg-taekwondo/blob/7e2c95de792416a0014429fd595561ed2bc5cc8d/n8n-workflows/Ingesta.json — original creator credit. Request a take-down →

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