Retrieval-Augmented Generation Is An Engineering Problem, Not A Model Problem

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.
News-Medical.Net

Retrieval-augmented AI improves accuracy in cancer care tools

Artificial intelligence tools like ChatGPT are increasingly being explored in cancer care, but they can sometimes produce ...

How Lohith Reddy Kalluru Is Advancing Retrieval-Augmented AI Systems In Enterprise Environments

Lohith Reddy Kalluru is one of these engineers. He is a Cloud Developer III at Hewlett Packard Enterprise. He helps in ...

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

Fine-tuning RAG embedding models for precision triggers a retrieval accuracy tradeoff that standard benchmarks won't catch ...

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall

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

Zilliz Open Sources Industry-First Bilingual "Semantic Highlighting" Model to Slash RAG Token Costs and Boost Accuracy

REDWOOD CITY, Calif., Jan. 30, 2026 /PRNewswire/ -- Zilliz, the company behind the leading open-source vector database Milvus, today announced the open-source release of its Bilingual Semantic ...
Hosted on MSN

Azure AI advances with MCP, GraphRAG, and real-time voice tools

Microsoft’s Azure AI ecosystem is expanding with the Model Context Protocol (MCP) for standardized tool and data source connections, GraphRAG for knowledge graph-enhanced retrieval, and Voice Live API ...