Lightweight and simple vector similarity search engine based on Google ScaNN. Provides a simple RESTful API for building vector similarity search services without the operational overhead of larger vector database solutions.
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VQLite
VQLite is a lightweight and simple vector similarity search engine based on Google ScaNN. VQLite provides a simple RESTful API for building vector similarity search services.
The reason for creating this project is that there is currently no solution that meets lightweight deployment needs. Vector search engines available on the market are often too heavy, requiring Kubernetes clusters with multiple replicas for deployment.
VQLite processes data based on documents as dimensions, which differs from common vector similarity search engines like Milvus, Qdrant, and Vearch that manage data by vector dimensions.
VQLite uses Google's ScaNN at the core of the system since it may currently be the fastest public vector similarity search method available.
Free and open-source.
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