Pinecone Official Video: Introducing pg_pinecone, an Open-Source Vector Search Extension for Postgres
Pinecone released a short official video introducing its new open-source Postgres extension, pg_pinecone. The tool integrates vector search directly into the database, and the video highlights key features and self-tested metrics regarding index size, search latency, and filtering accuracy.
On October 27, 2026, Pinecone released an official video introducing pg_pinecone, its latest open-source Postgres extension. Licensed under Apache 2.0, the extension allows developers to run vector search directly within their existing Postgres databases without exporting data to external services.
The video highlights several core advantages of pg_pinecone. First, it significantly reduces index size: for 1 million 768-dimensional vectors, pg_pinecone requires only 136 MB, compared to 2.0 GB for halfvec and 4.1 GB for full-size vectors on HNSW. Second, it offers more accurate filtered search by applying filters before searching, ensuring complete result lists even in multi-tenant environments. Additionally, the video mentions fast search and build performance, citing a 1.27 ms search latency at 0.95 recall.
As Pinecone's first release of this kind, the video primarily targets engineers and technical decision-makers looking to simplify architecture and keep data local. While all performance data are vendor self-tests, this resource provides a direct official perspective for quickly understanding pg_pinecone's functional boundaries and installation methods.