This repository contains a framework designed to validate the NLP-to-SQL function, ensuring the SQL queries generated by your NLP models match ground truth SQL queries. nlp_sql_validation.py: The main ...

This project is an NLP-driven system that dynamically selects the most relevant tables from a database schema based on a user's natural language (NL) query. Due to time constraints, we have integrated ...

NLP can also generate natural language responses from SQL query results, such as "The average salary of salespeople is $50,000". Add your perspective Help others by sharing more (125 characters ...

XiYan-SQL employs a three-stage process to generate and refine SQL queries. First, schema linking identifies relevant database elements, reducing extraneous information and focusing on key structures.

Business People may not be aware of the complex SQL writing skills. To convert the business requirements into SQL queries, which can be timeconsuming and error-prone. So, we decided to resolve this ...

In conclusion, MAG-SQL addresses the critical challenges of translating natural language into SQL commands. By utilizing a multi-agent framework and focusing on iterative refinement, MAG-SQL offers a ...

The AI Generator is underpinned by the intricate machinery of the GPT model. By employing Natural Language Processing (NLP) algorithms, GPT deciphers user inquiries, while the ML backbone interprets ...