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Chroma
About Chroma
Chroma는 LLM 애플리케이션을 위한 오픈소스 임베딩 데이터베이스입니다. 시맨틱 검색 및 검색 기능을 갖춘 AI 앱을 구축하기 위한 간단하고 빠르며 개발자 친화적인 벡터 저장소입니다.
Tags
#벡터 데이터베이스#오픈소스#임베딩#LLM
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Chroma Core Features
Open-Source Embedding Database — Chroma is an open-source vector database designed specifically for LLM applications, offering a simple and flexible way to store and retrieve embeddings.
High-Performance Vector Search — Built for speed, Chroma provides fast similarity search over large collections of embeddings, enabling real-time semantic retrieval.
Developer-Friendly API — With a clean and intuitive API, Chroma makes it easy to integrate into your AI stack, supporting Python and JavaScript clients.
Seamless LLM Integration — Chroma integrates smoothly with popular LLM frameworks like LangChain and LlamaIndex, simplifying the development of retrieval-augmented generation (RAG) applications.
Metadata Filtering — Attach metadata to your embeddings and filter search results based on custom criteria, enabling more precise and context-aware retrieval.
Scalable and Lightweight — Chroma is designed to be lightweight and scalable, running locally or in the cloud, and can handle millions of vectors with ease.
Active Community and Support — As an open-source project, Chroma benefits from a vibrant community, extensive documentation, and continuous improvements.
Chroma Subscription Plan
Open Source (Free)
$0
- Self-hosted
- Unlimited usage
- Community support
- Full access to source code
Cloud (Managed)
Usage-based (check official pricing)
- Fully managed infrastructure
- Automatic scaling
- High availability
- Dedicated support
