Recent research highlights how advanced AI techniques, including prompt engineering, retrieval-augmented generation (RAG), and graph-based enhancements, can improve the efficiency and accuracy of ...

Enterprise intent to adopt hybrid retrieval tripled from 10.3% to 33.3% in Q1 as first-gen RAG architecture failed at agentic ...

Actian, the data and AI division of HCLSoftware, is unveiling Actian VectorAI DB, a portable vector database purpose-built to power production AI in regulated, disconnected, and edge environments.

Constructive, the company behind open-source Postgres and JavaScript infrastructure with over 100 million open-source ...

Open-source vector database startup Qdrant Solutions GmbH today announced three new enterprise-grade capabilities on its ...

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Oracle has introduced new agentic AI capabilities for its AI Database platform, designed to integrate AI agents directly with operational databases and analytic lakehouses for real-time enterprise ...

It's clear that AI agents are only as good as the data behind them. Now, Google Cloud databases are being rebuilt to feed ...

Abstract: Retrieval Augmented Generation (RAG) is the de-facto technology used by pre-trained large language models to access data in databases, in addition to the data stored in their parameters.

NEW YORK, April 15, 2026 /PRNewswire/ -- Hashgraph has partnered with Halborn, a leading blockchain security firm, to strengthen security measures and protections across the Hedera ecosystem. Trust is ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...