amrutha00/Text-to-SQL

This project introduces a framework to evaluate Text-to-SQL Large Language Models (LLMs) using TPC-DS benchmarks. By transforming queries into natural language, we assess LLMs' effectiveness in SQL generation. Challenges like complex joins, sub-queries and parsing difficulties underscore the need for optimizing LLMs for complex data analytics.

Jupyter Notebook