Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
GitHub

LMQL: Programming Large Language Models

This repository contains research artifacts for the PLDI'23 paper, Programming Large Language Models. This includes a runtime and IDE for the presented language model query language (LMQL) and the ...
GitHub

SQML - Standard Query Markup Language

SQML is a Markup Languagem that helps you generate meaningful data to your database. It reads a .sqml file and outputs your data in ANSI SQL. Generating SQLs with SQML is extremely easy, you just need ...
Officer

Siren Adopts ISO-Standard GQL to Power the Next Generation of Graph Intelligence

Galway, Ireland – 24th June, 2025 — Siren, the all-in-one investigation company, today announced its adoption of Graph Query Language (GQL), the world’s first ISO-standard query language for graphs, ...
Scientific Research Publishing

Comparing Large Language Models for Generating Complex Queries ()

1 Faculty of Science, Ontario Tech University, Oshawa, Canada. 2 Faculty of Business and IT, Ontario Tech University, Oshawa, Canada. 3 Legion Development Group, Oshawa, Canada. This study presents a ...
TMCnet

AtScale Introduces Industry-First Public Leaderboard for Text-to-SQL Solutions, Setting Transparent Standards for Natural Language Query (NLQ) Evaluation

AtScale, a leader in semantic layer technology, has launched an open, public leaderboard for Text-to-SQL (T2SQL) solutions, addressing a critical need for transparency and standardization in ...