🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
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Updated
May 23, 2024 - Python
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
Interact with your SQL database, Natural Language to SQL using LLMs
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Multiple paper open-source codes of the Microsoft Research Asia DKI group
Translating natural language questions to a structured query language
[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".
Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
[NeurIPS'22] EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
A NLQ(Natural Language Query) demo using Amazon Bedrock, Amazon OpenSearch with RAG technique.
An application to write and run SQL queries, returning answers to natural language questions, using langchain and open source LLM models through HuggingFace.
sqlgpt-parser is a Python implementation of an SQL parser that effectively converts SQL statements into Abstract Syntax Trees (AST). By leveraging AST tree comparisons between two SQL queries, it becomes possible to achieve robust evaluation of text-to-SQL models.
This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin
Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries!
ViText2SQL: A dataset for Vietnamese Text-to-SQL semantic parsing (EMNLP-2020 Findings)
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
MindSQL: A Python Text-to-SQL RAG Library simplifying database interactions. Seamlessly integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery. Powered by GPT-4 and Llama 2, it enables natural language queries. Supports ChromaDB and Faiss for context-aware responses.
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