AI RAG Workflow with Qdrant & Ollama

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": "small dick",
  "nodes": [
    {
      "parameters": {
        "inputSource": "passthrough"
      },
      "id": "c055762a-8fe7-4141-a639-df2372f30060",
      "typeVersion": 1.1,
      "name": "When Executed by Another Workflow",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        272,
        400
      ]
    },
    {
      "parameters": {},
      "id": "b5942df6-0160-4ef7-965d-57583acdc8aa",
      "name": "Replace me with your logic",
      "type": "n8n-nodes-base.noOp",
      "position": [
        864,
        384
      ]
    },
    {
      "parameters": {
        "mode": "insert",
        "qdrantCollection": {
          "__rl": true,
          "value": "n8n",
          "mode": "list",
          "cachedResultName": "n8n"
        },
        "embeddingBatchSize": 50,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "typeVersion": 1.3,
      "position": [
        480,
        416
      ],
      "id": "1655c684-2b68-4205-950c-62e31130143a",
      "name": "Qdrant Vector Store",
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      }
    },
    {
      "parameters": {
        "jsonMode": "expressionData",
        "jsonData": "={{ $json.pageContent }}",
        "textSplittingMode": "custom",
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "=source",
                "value": "={{ $json.metadata.source }}"
              },
              {
                "name": "article",
                "value": "={{ $json.metadata.article }}"
              }
            ]
          }
        }
      },
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "typeVersion": 1.1,
      "position": [
        560,
        720
      ],
      "id": "f0a6a599-5e70-4342-99af-b830836c2347",
      "name": "Default Data Loader2"
    },
    {
      "parameters": {
        "chunkSize": 2000,
        "options": {}
      },
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        496,
        864
      ],
      "id": "10850569-a094-405d-aff3-599a679d6d63",
      "name": "Recursive Character Text Splitter"
    },
    {
      "parameters": {
        "model": "qwen3-embedding:0.6b"
      },
      "type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
      "typeVersion": 1,
      "position": [
        336,
        704
      ],
      "id": "568ca7c3-0d10-4bcb-a295-47531d567e1d",
      "name": "Embeddings Ollama",
      "credentials": {
        "ollamaApi": {
          "name": "<your credential>"
        }
      }
    }
  ],
  "connections": {
    "When Executed by Another Workflow": {
      "main": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader2": {
      "ai_document": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader2",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Qdrant Vector Store": {
      "main": [
        [
          {
            "node": "Replace me with your logic",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings Ollama": {
      "ai_embedding": [
        [
          {
            "node": "Qdrant Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    }
  },
  "active": true,
  "settings": {
    "executionOrder": "v1",
    "availableInMCP": false,
    "timeSavedMode": "fixed",
    "callerPolicy": "workflowsFromSameOwner"
  },
  "versionId": "9ffde182-7126-497d-9efd-73e1a9c11435",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "id": "OBlCmwA27Ha6OEPa",
  "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
• qdrantApi

About this workflow

small dick. Uses executeWorkflowTrigger, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Source: https://github.com/fajfl/law-agent-by-n8n/blob/10bd8383626a2aaa254b1963c55e683df6b1a9a3/n8n/sub.json — original creator credit. Request a take-down →

More AI & RAG workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.