Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Johns Hopkins Medicine

Johns Hopkins Investigators Create Open Source Database to More Easily Study Cancer

Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database structure that allows investigators anywhere to more easily study multiple types ...
IEEE

Optimizing Multimodal Data Queries in Data Lakes

Abstract: This paper addresses the challenge of efficiently querying multimodal related data in data lakes, a large-scale storage and management system that supports heterogeneous data formats, ...

React Development: Popularity of TanStack Query remains unbroken

TanStack Query has once again secured first place as the most popular library, while the React feature Server Components ...