Tech Xplore on MSN

Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
InfoWorld

AWS aims to take the pain out of RAG with Bedrock Managed Knowledge Base

The new service automates embeddings, indexing, and connectors to help developers focus on building AI apps instead of maintaining data pipelines.

AI agents need context everywhere they run, even where the cloud can't follow

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

GraphRAG: What entity-first retrieval means for SEO

GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search optimization. Making your brand machine-readable and increasing its chances of being ...
techtimes

Google Cloud Open Knowledge Format Turns Scattered Org Knowledge Into Agent-Ready Bundles

The Google Cloud logo is pictured at the MWC (Mobile World Congress), the world's biggest mobile fair, in Barcelona on March 4, 2025. Surrounded by investment and innovation projects, the Mobile World ...
Hacker

Architecting Secure AI Agents: The Fatal Flaw in Standard API Integrations

System Architect / Freelance AI Architect,San Francisco (USA) / Now PST,Business Analyst Leader and Independent System Engineer. Specializing in con Most enterprises are building AI agents that work ...
GitHub

Hybrid Multi-Agent RAG Architecture

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 ...