Ragnerock Launches Public Beta of Its Research Intelligence Platform, Making Any Data Source Queryable with standard SQL

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

Companies are spending millions on AI, but a flaw in database strategy is eating returns

IEEE research highlights multi-model databases outperform single-model systems, reducing AI costs, latency, and schema issues ...

Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...
AOL

Demystifying structured data: How to speak an LLM’s native language

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...
IEEE

A Secure and Efficient LLM-Based System for Natural Language Query-to-SQL Translation in IoT Data Management

Abstract: Structured data embodies vast reservoirs of actionable knowledge, yet non-technical users often lack the tools to effectively access or leverage these resources. This paper presents a novel ...
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...