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@mastra/chroma

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@mastra/chroma

Chroma vector store provider for Mastra

  • 0.1.0-alpha.41
  • npm
  • Socket score

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648
decreased by-5.95%
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@mastra/chroma

Vector store implementation for ChromaDB using the official chromadb client with added dimension validation and collection management.

Installation

npm install @mastra/chroma

Usage

import { ChromaVector } from '@mastra/chroma';

const vectorStore = new ChromaVector({
  path: 'http://localhost:8000',  // ChromaDB server URL
  auth: {                         // Optional authentication
    provider: 'token',
    credentials: 'your-token'
  }
});

// Create a new collection
await vectorStore.createIndex('my-collection', 1536, 'cosine');

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

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

Configuration

Required:

  • path: URL of your ChromaDB server

Optional:

  • auth: Authentication configuration
    • provider: Authentication provider
    • credentials: Authentication credentials

Features

  • Vector similarity search with cosine, euclidean, and dot product metrics
  • Strict vector dimension validation
  • Collection-based organization
  • Metadata filtering support
  • Optional vector inclusion in query results
  • Automatic UUID generation for vectors
  • Built-in collection caching for performance
  • Built on top of chromadb client

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

Query Response Format

Query results include:

  • id: Vector ID
  • score: Distance/similarity score
  • metadata: Associated metadata
  • vector: Original vector (if includeVector is true)
  • ChromaDB Documentation
  • ChromaDB API Reference

FAQs

Package last updated on 13 Feb 2025

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