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.

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

[NAACL 2024] TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition

[EMNLP 2024] NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization

An application which uses streamlit interface and converts user's query into SQL query, executes it on a database, and then returns the result.

Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179

The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data by implementing state-of-the-art NL2SQL / Text2SQL methods.

The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.

This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.

Fine tune codellama-7b-hf to achieve natural language to SQL ability

A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码

Fine Tuning is a cost-efficient way of preparing a model for specialized tasks. Fine-tuning reduces required training time as well as training datasets. We have open-source pre-trained models. Hence, we do not need to perform full training every time we create a model.

LLM evaluation framework

Natural Language to Structured Query Language (NL2SQL) REST API

Code and trained model for Hybrid ranking network for text-to-SQL on WikiSQL

AI Tool for querying natural language on tabular data.

A relation-aware semantic parsing model from English to SQL

Code for PointerSQL, PT-MAML, Execution-guided Decoding papers

The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。