Gamma is the core vector search engine of Vearch. It is a high-performance, concurrent vector search engine, and supports real-time indexing vectors and scalars without lock. Differently from the general vector search engine, Gamma can store and index a document containing scalars and vectors, providing the ability to quickly index and provides the ability of quickly indexing and filter by numeric scalar fields. The work of design and implementation of real-time indexing has been published in our Middleware paper. As for the part of similarity search of vectors in Gamma, it is mainly implemented based on faiss which is an open-source library developed by Facebook AI Research. Besides faiss, it can easily support other approximate nearest neighbor search(ANN) algorithms or libraries.
Features
- Requires Faiss
- Currently we support gamma both on Linux and OSX of x86_64 machines
- We have tested on Centos, Ubuntu and Mac os
- Licensed under the Apache License
- High-performance, concurrent vector search engine
- Supports real time indexing vectors