Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
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, ...
TanStack Query has once again secured first place as the most popular library, while the React feature Server Components ...
The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...
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 ...