Chroma is an open-source vector database that prioritizes developer experience and simplicity. It can run entirely in-memory for prototyping, as an embedded Python library for single-process applications, or as a standalone server for production deployments.
The API is minimal and intuitive — create a collection, add documents with embeddings and metadata, query by similarity. Chroma can generate embeddings automatically using built-in embedding functions for OpenAI, Cohere, Hugging Face, and Sentence Transformers. Metadata filtering combines with vector search for targeted retrieval.
Chroma is popular in the AI development community for prototyping and local development. Its simplicity makes it the fastest path from zero to a working RAG application. For production scale, larger teams typically evaluate Pinecone, Weaviate, or Qdrant. Chroma is free and open source under the Apache 2.0 license.