🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
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Updated
May 8, 2024 - Python
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
Interact with your SQL database, Natural Language to SQL using LLMs
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
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
WrenAI makes your database RAG-ready. Implement Text-to-SQL more accurately and securely.
Translating natural language questions to a structured query language
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
[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".
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.
Efficient, consistent and secure library for querying structured data with natural language
Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL
[NeurIPS'22] EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
Release of SPLASH: Dataset for semantic parse correction with natural language feedback in the context of text-to-SQL parsing
[preprint'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin
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