Chroma - open source vector database

Chroma is the open-source embedding database that makes it easy to build LLM applications with embeddings. Designed to be simple, scalable, and developer-friendly, Chroma provides the infrastructure for storing, searching, and managing vector embeddings from documents, images, and other data types. Key features include automatic embedding generation, similarity search, metadata filtering, and support for multiple embedding models including OpenAI, Sentence Transformers, and custom models. Chroma offers both in-memory and persistent storage options, with horizontal scaling capabilities for production deployments. The platform integrates seamlessly with popular AI frameworks like LangChain, LlamaIndex, and CrewAI, making it a go-to choice for RAG applications, semantic search, and knowledge management systems. Chroma provides simple Python and JavaScript APIs, requires minimal configuration, and can be deployed locally, in containers, or in the cloud. With its focus on developer experience and rapid prototyping, Chroma has become a popular choice for teams building AI applications that require vector similarity search.