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VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search.
Features
- Vector storage and retrieval using ANN algorithms
- REST and gRPC APIs for easy integration
- Lightweight and embeddable in local or edge systems
- Supports custom embeddings and similarity metrics
- Built-in support for hybrid and filtered search
- Designed for use with LLM-powered applications
Project Samples
License
MIT LicenseFollow VectorChord
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