Chroma is an open-source AI-native embedding database designed for building LLM applications by making it easy to store, query, and manage embeddings.
Open-source embedding database.
Chroma simplifies the process of integrating large language models (LLMs) into applications by providing a developer-friendly database specifically for vector embeddings. It offers a straightforward API to store, query, and filter embeddings, enabling semantic search, recommendation systems, and RAG architectures. Chroma's capabilities extend to handling varied data types and facilitating efficient retrieval of contextually relevant information for AI models.
AI developers, data scientists, and ML engineers building applications with large language models, particularly those requiring efficient storage and retrieval of vector embeddings.
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50K+
2022
San Francisco, CA
Self-Hosted
Run Chroma yourself on your own infrastructure.
Free
Chroma Cloud
Managed cloud service with scalable infrastructure and enterprise features.
Custom
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