Blog co-author here (PM at Timescale). We're excited to release pgvectorscale. Our team built this extension to make PostgreSQL a better database for AI and to

Blog co-author here (PM at Timescale). We're excited to release pgvectorscale. Our team built this extension to make PostgreSQL a better database for AI and to challenge the notion that PostgreSQL and pgvector are not performant for vector workloads. pgvectorscale is open-source under the PostgreSQL license and free to use on any PostgreSQL database. Here are two helpful companion reads to the post linked by OP: A benchmark of how PostgreSQL with pgvector and pgvectorscale performs against Pinecone [1], and a technical deep dive into pgvectorscale's StreamingDiskANN index and Statistical Binary Quantization implementations [2]. Questions and feedback welcome! [1]: https://www.timescale.com/blog/pgvector-vs-pinecone/ https://www.timescale.com/blog/pgvector-vs-pinecone/ [2]: https://www.timescale.com/blog/how-we-made-postgresql-as-fast-as-pinecone-for-vector-data/ https://www.timescale.com/blog/how-we-made-postgresql-as-fas...