chroma

Chroma addresses the challenge of efficient search and retrieval in AI applications by providing a dedicated open-source database optimised for handling embeddings and document retrieval. This tool is particularly beneficial for ML and AI teams who require a robust solution for managing and querying large datasets. With over 26,000 stars on GitHub, Chroma demonstrates a solid level of community support and maturity, making it a viable production-ready solution for many projects. However, it may not be suitable for teams needing a fully managed service or those working with very specific data types that require bespoke handling.

Chroma is a strong choice when teams need a self-hosted option for managing AI-driven search and retrieval tasks, particularly when working with large-scale embeddings. Teams should consider alternatives if they require a fully managed service or need extensive customisation beyond what Chroma offers.

This tool is best suited for ML engineers, data scientists, and AI researchers who are developing applications that rely on effective document retrieval and embedding management. It typically fits within products and systems focused on AI search capabilities, recommendation engines, and knowledge management platforms.

Latest commit: 2026-02-14. Over the past 96 days, this repository gained 1.8k stars (+7.2% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.