chromadb
Open-source vector database and embedding store for building AI applications with semantic search.
What is chromadb?
Chroma is an open-source vector database and embedding store that provides the data infrastructure for AI applications. It enables developers to store, query, and manage embeddings for semantic search, retrieval-augmented generation (RAG), and other AI-driven workflows. By handling embedding generation and indexing automatically, it simplifies building applications that require similarity search across unstructured data like documents, images, and audio.
AI engineers, machine learning developers, and software teams building applications with semantic search, recommendation systems, or retrieval-augmented generation (RAG) capabilities.
Developers choose Chroma for its simplicity, lightweight API, and focus on developer experience, allowing rapid prototyping and production deployment of embedding-based search without managing complex infrastructure. Its open-source nature and support for hybrid search provide flexibility and control over AI data pipelines.
Overview
Data infrastructure for AI
Use Cases
Best For
- Building retrieval-augmented generation (RAG) applications for chatbots and AI assistants
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
