RooAGI Releases Roo-VectorDB: A High-Performance PostgreSQL Extension for Vector Search

RooAGI (https://rooagi.com) has released Roo-VectorDB, a PostgreSQL extension designed as a high-performance storage solution for high-dimensional vector data. Check it out on GitHub: GitHub - RooAGI/Roo-VectorDB: Roo-VectorDB is a powerful vector database built as an extension on top of PostgreSQL.

We chose to build on PostgreSQL because of its readily available metadata search capabilities and proven scalability as a relational database. While PGVector has pioneered this approach, it’s often perceived as slower than native vector databases like Milvus. Roo-VectorDB builds on the PGVector framework, incorporating our own optimizations in search strategies, memory management, and support for higher-dimensional vectors.

In preliminary lab testing using ANN-Benchmarks, Roo-VectorDB demonstrated performance that was comparable to, or significantly better than, Milvus in terms of QPS (queries per second).

RooAGI will continue to develop AI-focused products, with Roo-VectorDB as a core storage component in our stack. We invite developers around the world to try out the current release and share feedback. Discussions are welcome in r/RooAGI