🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
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Updated
Nov 13, 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
🚀 An open-source SQL AI (Text-to-SQL) Agent that empowers data, product teams to chat with their data. 🤘
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
Multiple paper open-source codes of the Microsoft Research Asia DKI group
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.
Translating natural language questions to a structured query language
This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text2SQL) techniques in the literature and provide practical guidance for researchers and practitioners.
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
End-to-End Local-First Text-to-SQL Pipelines
[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".
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
Efficient, consistent and secure library for querying structured data with natural language
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 framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL
[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
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