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 ...

TigerData, formerly Timescale, rebrands to reflect its mission: the fastest, most agent-ready PostgreSQL for modern data.

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 ...