@mastra/qdrant

Vector store implementation for Qdrant using the official @qdrant/js-client-rest SDK with added telemetry support.

Installation

pnpm add @mastra/qdrant

Usage

import { QdrantVector } from '@mastra/qdrant';

const vectorStore = new QdrantVector(
  'http://localhost:6333', // url
  'optional-api-key',      // optional
  false                    // https (optional)
);

// Create a new collection
await vectorStore.createIndex({ indexName: 'myCollection', dimension: 1536, metric: 'cosine' });

// Add vectors
const vectors = [[0.1, 0.2, ...], [0.3, 0.4, ...]];
const metadata = [{ text: 'doc1' }, { text: 'doc2' }];
const ids = await vectorStore.upsert({ indexName: 'myCollection', vectors, metadata });

// Query vectors
const results = await vectorStore.query({
  indexName: 'myCollection',
  queryVector: [0.1, 0.2, ...],
  topK: 10, // topK
  filter: { text: { $eq: 'doc1' } }, // optional filter
  includeVector: false // includeVector
});

Configuration

Required:

• url: URL of your Qdrant instance

Optional:

• apiKey: API key for authentication
• https: Whether to use HTTPS (default: false)

Features

• Vector similarity search with Cosine, Euclidean, and Dot Product metrics
• Automatic batching for large upserts (256 vectors per batch)
• Built-in telemetry support
• Metadata filtering
• Optional vector inclusion in query results
• Automatic UUID generation for vectors
• Support for both local and cloud deployments
• Built on top of @qdrant/js-client-rest SDK

Distance Metrics

The following distance metrics are supported:

• cosine → Cosine distance
• euclidean → Euclidean distance
• dotproduct → Dot product

Methods

• createIndex({ indexName, dimension, metric? }): Create a new collection
• upsert({ indexName, vectors, metadata?, ids? }): Add or update vectors
• query({ indexName, queryVector, topK?, filter?, includeVector? }): Search for similar vectors
• listIndexes(): List all collections
• describeIndex(indexName): Get collection statistics
• deleteIndex(indexName): Delete a collection

Related Links

• Qdrant Documentation
• Qdrant REST API Reference