MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

Implementation and analysis of various algorithms, libraries and systems, distributed and not, for Approximate Nearest Neighbors searches