# Chroma

> Open-source search & retrieval database with a hosted cloud for vector, full-text, regex, and metadata search.

Chroma is an AI-native, open-source search and retrieval database used for semantic search and RAG. It supports vector, full-text, regex, and metadata search, and ships with Python and TypeScript clients. Developers can run Chroma locally for rapid prototyping or use Chroma Cloud to scale to terabytes with an object-storage–backed, serverless architecture. The cloud offers a web dashboard, API keys, collaboration, and usage-based pricing.

## Features
- Vector search (semantic similarity)
- Full-text search and regex querying
- Metadata filters on collections and records
- Collection forking and collaboration
- Object-storage–backed persistence (cloud)
- Python and TypeScript client SDKs
- Dashboard for browsing/searching data and managing API keys
- Serverless scaling with low-latency reads
- LangChain, LlamaIndex, and Mastra integrations
- CLI and client/server deployment options

## Integrations
LangChain, LlamaIndex, Mastra, OpenAI, Google AI, Hugging Face

## Platforms
WEB, API, DEVELOPER_SDK

## Pricing
Open Source, Free tier available

## Links
- Website: https://www.trychroma.com
- Documentation: https://docs.trychroma.com/
- Repository: https://github.com/chroma-core/chroma
- EveryDev.ai: https://www.everydev.ai/tools/chroma