GitHub

eliharoun/text-to-sql-agent

This application enables users to interact with an e-commerce SQL database using natural language queries. It leverages two specialized AI agents: SQL Agent: Converts natural language questions into ...
IEEE

XiYan-SQL: A Novel Multi-Generator Framework for Text-to-SQL

Abstract: To leverage the advantages of LLM in addressing challenges in the Text-to-SQL task, we present XiYan-SQL, an innovative framework effectively generating and utilizing multiple SQL candidates ...
IEEE

To RAG or Not to RAG, That Is the Question: Effective Text-to-SQL Generation Under Ambiguity

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.
GitHub

Document Generator

This sample app demonstrates how to create technical documents for a codebase using AI. More specifically, it uses the agent framework offered by Semantic Kernel to ochestrate multiple agents to ...