About Chroma
An open-source embedding database (ChromaDB) tailored for LLM applications, offering vector storage, retrieval, and developer-friendly client APIs for Python and JavaScript.
Key Features
- Simple API and SDKs for prototyping and scaling embedding-based apps (in-memory, persistent, client-server, cloud).
- Support for document storage, metadata filtering, full-text features, and multi-modal embeddings.
- Hosted Chroma Cloud for serverless vector search and a documented cookbook for integrations.
Use Cases & Best For
ML engineers and developers building LLM-backed apps (conversational memory, RAG) who want an easy-to-use embedding store.
Teams that want both local OSS options and a hosted serverless offering for rapid prototyping to production.
About Vector Databases
Storage and retrieval for embeddings