text-to-sql
There are 119 repositories under text-to-sql topic.
vanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
sqlchat/sqlchat
Chat-based SQL Client and Editor for the next decade
Dataherald/dataherald
Interact with your SQL database, Natural Language to SQL using LLMs
Canner/WrenAI
🚀 An open-source SQL AI (Text-to-SQL) Agent that empowers data, product teams to chat with their data. 🤘
eosphoros-ai/Awesome-Text2SQL
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
eosphoros-ai/DB-GPT-Hub
A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
microsoft/ContextualSP
Multiple paper open-source codes of the Microsoft Research Asia DKI group
HKUSTDial/NL2SQL_Handbook
This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text-to-SQL) techniques in the literature and provide practical guidance for researchers and practitioners.
Mindinventory/MindSQL
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.
premAI-io/premsql
End-to-End Local-First Text-to-SQL Pipelines
salesforce/TabularSemanticParsing
Translating natural language questions to a structured query language
totalhack/zillion
Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
X-LANCE/text2sql-lgesql
[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".
deepsense-ai/db-ally
Efficient, consistent and secure library for querying structured data with natural language
aws-samples/generative-bi-using-rag
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
aws-samples/text-to-sql-bedrock-workshop
This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.
glee4810/EHRSQL
[NeurIPS'22] EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
Chirayu-Tripathi/nl2query
A framework for converting natural language text inputs to corresponding Pandas, MongoDB, Kusto and Neo4j (Cypher) queries.
lyuqin/HydraNet-WikiSQL
Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL
wshi83/EhrAgent
[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
tshu-w/DBCopilot
Code and data for the paper "DBCᴏᴘɪʟᴏᴛ: Scaling Natural Language Querying to Massive Databases"
OSU-NLP-Group/llm-planning-eval
[ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
aws-samples/build-an-agentic-llm-assistant
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
rocket-connect/gqlpt
Leverage AI to generate GraphQL queries from plain text.
Laqcce-cao/RSL-SQL
RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
MSR-LIT/Splash
Release of SPLASH: Dataset for semantic parse correction with natural language feedback in the context of text-to-SQL parsing
databrainhq/dataneuron
Data Neuron is a powerful framework that enables you to build text-to-SQL applications with an easily maintainable semantic layer. Whether you're creating customer-facing chatbots, internal Slack bots for analytics, or other data-driven applications, Data Neuron provides the tools to make your data accessible through natural language
dermatologist/pyomop
Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries!
Chia-Hsuan-Lee/KaggleDBQA
Introduction page of a challenging text-to-SQL dataset: KaggleDBQA
yandex-research/sparqling-queries
This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin
yszh8/TriageSQL
The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"
BrettlyCD/text-to-sql
An application to write and run SQL queries, returning answers to natural language questions, using langchain and open source LLM models through HuggingFace.
OSU-NLP-Group/Auto-SQL-Correction
Code, data, and model of paper "Text-to-SQL Error Correction with Language Models of Code" (ACL'23)
eosphoros-ai/sqlgpt-parser
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.
VinAIResearch/ViText2SQL
ViText2SQL: A dataset for Vietnamese Text-to-SQL semantic parsing (EMNLP-2020 Findings)
langsec-ai/langsec
Security framework for LLM-generated SQL queries 🛡️