IssueTracker

The pgvectorscale extension, developed by Timescale and available as an open-source project, is poised to make a significant impact in the vector database domain.

This extension offers performance enhancements comparable to those of the Pinecone vector database, providing high-performance embedding search and cost-efficient storage tailored for AI applications.

By leveraging pgvectorscale, I aim to enhance the performance of vector databases, thereby optimizing the performance of Retrieval-Augmented Generation (RAG) systems. This will facilitate the development of a production-ready RAG implementation.

References:
1. https://github.com/timescale/pgvectorscale
2. https://www.timescale.com/blog/pgvector-is-now-as-fast-as-pinecone-at-75-less-cost/