nowfound

AI · April 16, 2024

AP

A pgvector fork with the performance of Pinecone

Hi friends, Excited to share our latest project, pgvector-remote, with you all! pgvector-remote is an extension designed to effortlessly incorporate remote vector stores, like Pinecone, into pgvector. With pgvector-remote, harnessing the power of a remote (Pinecone) index becomes as easy as utilizing ivfflat or hnsw. Why pgvector-remote? 1. Simplifies integration of memory-intensive vector indexes like Pinecone into standard database servers. 2. Addresses critical feature gaps in pgvector, such as metadata filtering for AI applications. 3. Hides the complexity of maintaining and…

A pgvector fork with the performance of Pinecone launched on April 16, 2024 with 10 votes, #1,165 of 4,347 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.

In plain words

pgvector-remote is a PostgreSQL extension that integrates remote vector stores like Pinecone directly into pgvector. It enables developers to leverage remote vector indexes with the same simplicity as built-in pgvector methods while achieving sub-10ms latency and supporting metadata filtering. The extension combines Pinecone's performance characteristics with PostgreSQL's SQL compatibility and transaction support, eliminating the need for users to manage separate vector store infrastructure.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi friends, Excited to share our latest project, pgvector-remote, with you all! pgvector-remote is an extension designed to effortlessly incorporate remote vector stores, like Pinecone, into pgvector. With pgvector-remote, harnessing the power of a remote (Pinecone) index becomes as easy as utilizing ivfflat or hnsw.…

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