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 ...

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 ...

PostgreSQL is increasingly being used to support vector database workloads, typically via the pgvector extension. “What’s great about PostgreSQL is its extensibility, that allows for ...

Since then, it has broadened its vision, aiming to transform PostgreSQL into a versatile developer platform suitable for a wide range of applications. Timescale is now focusing on the intersection of ...

Another early adopter, Blueway Software, is also finding the database a good fit for its GenAI development. “Using Timescale Vector allows us to easily combine PostgreSQL’s classic database features ...

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.

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 ...