Database Management · Founded by Alexander Kvamme

Chroma

Open-source search and retrieval database for AI applications

Cost

Pay As You Go

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Chroma to build search and retrieval systems for AI applications. It provides vector search for semantic similarity, full-text search with trigram and regex patterns, and metadata filtering. You can store documents with embeddings, query by vector similarity, and get results ranked by relevance. It supports multiple search types including sparse vectors for lexical search and metadata filtering. The platform scales automatically and offers both cloud and self-hosted deployment options.

What Chroma does

Add documents with vector embeddingsQuery collections by similarityFilter results using metadataSearch text using regular expressionsCreate and manage multiple collectionsVersion datasets for experimentsScale search across multiple tenantsDeploy on cloud or self-hosted infrastructureVector search for semantic similarityFull-text search with trigram and regexMetadata filtering and faceted searchMultiple search types in one databaseAutomatic scaling with object storageDataset versioning and A/B testingMulti-tenant index supportCommand-line development tools