ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...

The brand that got me into slim denim a decade ago is finally loosening up—and I have the fit pics to prove it.

Although constipation and diarrhea may seem like opposite problems, they both hinge on the same underlying issue: how much fluid moves into the gut. These common issues affect millions of people in ...

A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...

Thales is supporting the newly launched SkyBridge Alliance, which brings together air navigation service providers from the Czech Republic, Estonia, and Finland to modernise and harmonise European air ...

The Instructed Retriever is set to replace RAG on a large scale. Databricks sees a 70 percent improvement with the ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

Henon today announced the release of the world's first Zero-Error Retrieval-Augmented Generation (RAG) system built specifically for unstructured data within financial workflows. The launch represents ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

LinkedIn has published a new report on the “Jobs on the Rise in 2026” list for India, ranking the 25 fastest-growing roles ...