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.
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 ...
InfoWorld

The browser is your database: Local-first comes of age

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...
GitHub

aashishvanand/airport-data-js

A comprehensive JavaScript library for retrieving airport information by IATA codes, ICAO codes, and various other criteria. This library provides easy access to a large dataset of airports worldwide ...
IEEE

Hide Yourself: Multi-Dimensional Range Queries for Responses-Hiding Over Outsourced Data

Abstract: Multi-dimensional range query (MRQ) over outsourced data has been extensively applied in various domains. However, security and efficiency are still two aspects that cannot be easily ...