# 20x faster than pgvector: introducing pg\_embedding extension for vector search in Postgres and LangChain

DevFeed: [20x faster than pgvector: introducing pg\_embedding extension for vector search in Postgres and LangChain](<https://devfeed.tech/articles/20x-faster-than-pgvector-introducing-pg-embedding-extension-for-vector-search-in-postgres-and-langchain-5715.md>)

Original publisher: [Read original article](<https://neon.com/blog/pg-embedding-extension-for-vector-search>)

Author: Raouf Chebri

Published: 2023-07-11T16:34:04Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [AI search](<https://devfeed.tech/topics/ai-search.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [LangChain](<https://devfeed.tech/topics/langchain.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Extension](<https://devfeed.tech/topics/extension.md>), [Graphs](<https://devfeed.tech/topics/graphs.md>)

Tags: [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [compare](<https://devfeed.tech/tags/compare.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [development](<https://devfeed.tech/tags/development.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [extensions](<https://devfeed.tech/tags/extensions.md>), [langchain](<https://devfeed.tech/tags/langchain.md>), [performance](<https://devfeed.tech/tags/performance.md>), [pgvector](<https://devfeed.tech/tags/pgvector.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [search](<https://devfeed.tech/tags/search.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>)

## AI overview

This article announces pg_embedding, a Postgres and LangChain extension for graph-based approximate nearest neighbor vector search. It describes HNSW indexing, compares it with IVFFlat using the GIST-960 dataset, and reports faster search at similar recall in the stated benchmark.

## Source excerpt

We're excited to announce the release of our pg_embedding extension for Postgres and LangChain! The new pg_embedding extension brings 20x the speed for 99% accuracy to graph-based approximate nearest neighbor search to your Postgres databases. While the pgvector extension with IV...