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.

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 ...

OpenAI's AI data agent, built by two engineers, now serves thousands of employees — and the company says anyone can replicate it

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

How to see AI search prompts inside Google Search Console

See how long-tail Google Search Console queries reveal AI-style prompts, plus a regex trick and ways to turn raw data into tracking insights.
IEEE

Semantic grounding of LLMs using knowledge graphs for query reformulation in medical information retrieval

Abstract: The widespread adoption of electronic health records has generated a vast amount of patient-related data, mostly presented in the form of unstructured text, which could be used for document ...
IEEE

A Hybrid Swarm Intelligence Model for Efficient Query Optimization in Distributed Databases Using Genetic and Ant Colony Algorithms

Abstract: Optimisation of queries in distributed databases is more imperative to enhance the processing rate and use of resources with limited computational abilities. This work presents a novel ...