Vector Database
27.7k 2026-04-27
chroma-core/chroma
An open-source vector database simplifying the storage, indexing, and querying of embeddings for AI applications.
Core Features
Automated embedding, tokenization, and indexing of documents.
Simplified API for CRUD operations and semantic search on embeddings.
Flexible filtering of results using metadata and document content.
Supports in-memory and persistent storage for diverse use cases.
Client libraries for Python and JavaScript.
Quick Start
pip install chromadbDetailed Introduction
Chroma is an open-source vector database specifically engineered as foundational data infrastructure for AI. It streamlines the development of AI applications by abstracting away the complexities of managing high-dimensional vector embeddings. Developers can effortlessly store, index, and perform semantic searches on data, facilitating features such as intelligent retrieval, recommendation engines, and RAG. Its user-friendly API, combined with automatic embedding generation and robust filtering, makes it an ideal choice for both rapid prototyping and scalable production environments, supporting various persistence options.