Learn how to use PostgreSQL + PGVector as a smarter, more contextual retrieval engine for GenAI apps Discover best practices for embedding storage, indexing, and relevance scoring in Azure Database ...

Edge, a leading open source Postgres company for agentic AI and enterprise applications, is launching pgEdge Starfleet, a new Postgres cloud database platform built to bridge the gap between ...

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

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

Until now, developers wanting to use Postgres as the data infrastructure for their Agentic AI applications have had to pursue their own solutions for moving agentic AI applications from prototyping ...

The First to Combine AI-Native Tooling and a Smooth Developer Experience With Flexible Deployment Options, Data Sovereignty, and Global Scalability According to research by IDC and Lenovo, only 46% of ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

unstructured data such as pdfs, text documents, YouTube videos, and web pages, into a knowledge graph stored in Neo4j, promising much better accuracy than simple RAG (Retrieval-Augmented Generation).

WILMINGTON, Del., Feb. 19, 2025 (GLOBE NEWSWIRE) -- EnterpriseDB ("EDB"), the leading Postgres data and AI company, today announced the results of a new benchmark study from McKnight Consulting Group.