PostgreSQL with the pgvector extension allows ... you might want to swap in a larger and more performant vector database. Until then, Postgres will do the job and allow us to build our application ...

The new extensions, pgvectorscale and pgai, bring to bear the ability to use PostgreSQL, an open-source relational database for vector data retrieval, which is fundamental for building AI ...

Analysts provide insight on what the latest acquisition of a PostgreSQL database vendor means for enterprise data and AI.

Multiple vendors including AWS and Google use pgvector to provide vector database capabilities to PostgreSQL Timescale sees pgvector as having limitations at a larger scale, which pgvectorscale ...

Amazon has recently announced the general availability of Amazon Aurora DSQL, a PostgreSQL-compatible, serverless, and ...

Timescale Inc., the creator of a cloud time-series database that’s based on PostgreSQL, is looking to cater to artificial intelligence developers with the launch of its latest vector capabilities.

As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. Exactly when depends on who you ask, but their ...

One useful feature is the ability to use PostgreSQL’s vector index capabilities to build your BSON data into a retrieval-augmented generation (RAG) application or use nearest-neighbor searches ...