Qdrant Integration

Connect your Qdrant instance to federate queries across vector stores.

Quick Start

const connector = await client.createConnector({
  connector_type: 'qdrant',
  display_name: 'Production Qdrant',
  credentials: {
    url: 'https://xyz.qdrant.io:6333',
    api_key: 'xxxxxxxxxxxx',
  },
});

await client.syncConnector(connector.connector_id, true);

Authentication

{
  "credentials": {
    "url": "https://xyz.qdrant.io:6333",
    "api_key": "xxxxxxxxxxxx"
  }
}

Configuration

{
  "settings": {
    "collections": ["documents", "knowledge_base"],
    "embedding_model": "text-embedding-ada-002",
    "vector_name": "default"
  }
}

Payload Filtering

Pass Qdrant payload filters:

const results = await client.query({
  text: 'product requirements',
  filters: {
    connector_id: 'qdrant-123',
    metadata: {
      category: 'product',
      status: 'active'
    }
  }
});

Rate Limits

• Self-hosted: Unlimited
• Qdrant Cloud: Based on plan

Next Steps

• Pinecone Integration
• Milvus Integration