RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responses Choosing the right vector database can make or break performance, scalability, and user experience ...

WILMINGTON, Del., July 29, 2026 /PRNewswire/ -- EnterpriseDB (EDB), the leading sovereign data and AI company, today announced that EDB Postgres AI (EDB PG AI) outperforms competing AI data platforms ...

Vector databases have graduated from experimental tooling to mission-critical infrastructure. In 2026, vector databases serve as the core retrieval layer for RAG pipelines, semantic search systems, ...

Neon has released Lakebase Search, a suite of Postgres extensions designed to enhance vector and text search capabilities within the Neon database platform. Lakebase Search is a high performance ...

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

When you start learning about RAG, you encounter the term "vector database" quite early on.Create embeddings. Search for ...

According to @_avichawla, pg-jev adds Jev SQL functions to Postgres for semantic WHERE filters, labels, probabilities, and ranking—no vectors required.

Elastic N.V. launched its Elasticsearch Vector Database, a serverless AI search product with 32x memory reduction targeting RAG and AI agent ...