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Making PostgreSQL a Better AI Database

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Avthar Sewrathan
Word Count
1,348
Company Posts That Month
12
Language
English
Hacker News Points
14
Post removed?
No
Summary

Two new open-source extensions, pgai and pgvectorscale, have been developed to enhance PostgreSQL as an AI database. These extensions aim to improve the ease of use and unlock large-scale, high-performance AI use cases previously achievable only with specialized vector databases like Pinecone. The new extensions complement pgvector, a popular open-source extension for vector data in PostgreSQL, by adding unique capabilities that help developers use PostgreSQL to build AI applications. Pgvectorscale enables more scalable AI applications with higher-performance embedding search and cost-efficient storage, while Pgai brings more AI workflows to PostgreSQL, like embedding creation and model completion. These extensions are open source under the PostgreSQL license and can be used in AI projects today.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 13 1,612 203 74 +36%
RAG 3 1,081 177 62 +40%
LLM 1 2,718 331 130 +3%
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