GitHub

QuantLens is a natural language to SQL system built for quantitative finance. It lets you query trading data using plain English instead of writing SQL.

QuantLens converts natural language into SQL using a local LLM. Your data never leaves your machine ...
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 ...
techannouncer

Master SQL Practice: Essential Tips and Resources for Beginners

Learning SQL is a great move for anyone working with data, but actually getting good at it can feel tricky, especially if you don’t have a database handy. Luckily, there are tons of free places online ...
dbta

Navicat Premium 17.3 Eases Database Administration and Development

The role of the DBA is complex, requiring expertise in designing, implementing, managing, and tuning database systems. DBAs are also tasked with supporting developers, so they need to understand how ...
InfoWorld

Chat with data the easy way in R or Python

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...
VentureBeat

How Snowflake's open-source text-to-SQL and Arctic inference models solve enterprise AI's two biggest deployment headaches

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...
InfoWorld

Google adds natural language query capabilities to AlloyDB

At its Cloud Next conference, Google is showing off a new AI engine for AlloyDB that enables developers to embed natural language questions in SQL queries. Google is enhancing AlloyDB, its fully ...