A comprehensive guide and implementation of architectural patterns that utilize Large Language Models (LLMs) for the efficient generation of SQL from natural language text. For comprehensive ... an ...

a novel multi-agent generative approach designed to enhance the Text-to-SQL process. This innovative method combines multiple agents working collaboratively to improve the accuracy of SQL generation.

Currently, when a user asks natural language questions over custom data sources, two main approaches come into play: text-to-SQL or retrieval-augmented generation (RAG). While both methods do ...