Introduction
Chroma is an open-source vector database designed for AI applications, supporting efficient embedding storage and semantic search. It is widely used in intelligent Q&A, knowledge bases, and RAG systems.
Key Features
- Simple and user-friendly API, Python/JS clients
- Supports multiple embedding models and custom embeddings
- High-performance search and filtering for large-scale data
- Fully open-source, Apache 2.0 licensed
Use Cases
- Building intelligent Q&A and knowledge base systems
- Powering RAG (Retrieval-Augmented Generation) applications
- Multimodal search for documents, images, code
- Integration with LangChain, LlamaIndex, and other frameworks
Technical Highlights
- Multi-language implementation: Rust, Python, TypeScript
- Supports local and cloud deployment
- Rich API and extensibility
- Active community and continuous updates