Chroma is an open-source AI application database designed to simplify the development of AI applications. It offers a comprehensive suite of tools, including:
- Embeddings: Built-in support for handling embeddings, a crucial component for semantic search and retrieval.
- Vector Search: Efficiently search and retrieve data based on vector similarity.
- Document Storage: Store and manage documents within the database.
- Full-Text Search: Perform traditional full-text searches on stored documents.
- Metadata Filtering: Filter search results based on metadata associated with the documents.
- Multi-Modal Support: Handle various data types, including text and images.
Chroma targets AI developers and researchers who need a robust and easy-to-use database for building retrieval-augmented generation (RAG) applications and other AI-powered systems. Its batteries-included approach aims to reduce the complexity of integrating different tools and libraries, allowing developers to focus on building their applications.
