One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

In a 2024 survey of 350 enterprise AI teams by Databricks, 41% reported having to migrate their database architecture after the initial AI deployment. The most common reason: the database type chosen ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

A hybrid multi-agent Retrieval-Augmented Generation (RAG) system that routes queries across three specialised retrieval agents connected to three heterogeneous data stores — a vector database, a ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

In the last few years, Artificial Intelligence has transformed from a futuristic concept into a daily business tool. From ChatGPT-style assistants to intelligent enterprise search engines, one ...

Agentic knowledge retrieval redefined with an AI agent system that combines traditional RAG (vector search) with knowledge graph capabilities to analyze and provide insights about big tech companies ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

On the first day of Microsoft Build 2026 in San Francisco, Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database rebuilt from the ground up for ...