# vector-quantization

> Browse 3 items tagged with vector-quantization.

## Items

- [VQLite](https://vectordb.ever.works/items/vqlite) — 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.
- [LibVQ](https://vectordb.ever.works/items/libvq) — LibVQ is an open-source toolkit for optimizing vector quantization and efficient neural retrieval, offering training and indexing components that can serve as the core of high-performance approximate nearest neighbor search and vector database systems.
- [SymphonyQG](https://vectordb.ever.works/items/symphonyqg) — SymphonyQG is a research codebase and method that integrates vector quantization with graph-based indexing to build efficient approximate nearest neighbor (ANN) indexes for high-dimensional vector search. It targets vector database and similarity search scenarios where combining compact codes with navigable graphs can improve recall–latency tradeoffs and memory footprint.

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