VectorTree is creating an Advanced Vector Database (AVD) as a cloud-based service to support artificial intelligence systems.

Initially adopted as a flexible full-text search solution, Elasticsearch is now being reconsidered in favour of systems that offer better write performance, integrated vector search, and lower ...

In this episode of DEMO, host Keith Shaw is joined by Matt Fuller, Co-Founder of Starburst, to explore how their innovative data platform unifies access to distributed data—whether it's in the cloud, ...

YugabyteDB, the PostgreSQL-compatible database with a distributed back end, is also on a mission to more deeply adapt its software to support AI. With Paramount, GM, and Kroger among its customers, ...

Baffle, the easiest way to protect sensitive data, is debuting the extension of its data protection platform to pgvector on PostgreSQL. With this release, Baffle expands its data protection and ...

Earlier this year, the Timescale expanded its offerings by announcing its pgvectorscale and pgai efforts, which integrate advanced vector database capabilities with its database platform.

Timescale debuts open source pgai Vectorizer for AI embeddings as it looks to push vector database beyond RAG.

How to build a local retrieval-augmented generation application using Postgres, the pgvector extension, Ollama, and the Llama 3 large language model.

We look at the use of vector data in AI, how vector databases work, plus vector embedding, the challenges for storage of vector data and the key suppliers of vector database products ...

How do these potential Postgresql options compare with how AnythingLLM handles using Pincecone-as-a-vector-store? I'm fairly certain AnythingLLM natively scrapes (docs / websites / GitHub repos / etc.

So what is this next big bet? EDB is transforming from a Postgres database company to a Postgres Data and AI Platform company.