text2sql
There are 34 repositories under text2sql topic.
CodePhiliaX/Chat2DB
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
sqlchat/sqlchat
Chat-based SQL Client and Editor for the next decade
pingcap/ossinsight
Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight
Canner/WrenAI
🚀 Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy! 🙌
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
BaeSeulki/NL2LF
The Resources for "Natural Language to Logical Form" ; "自然语言转逻辑形式"研究资料收集。
guotong1988/NL2SQL-RULE
Content Enhanced BERT-based Text-to-SQL Generation https://arxiv.org/abs/1910.07179
aws-samples/generative-bi-using-rag
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG
awslabs/gap-text2sql
GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training
xuwei95/ezdata
基于python和llm大模型开发的数据处理和任务调度系统。 支持数据源管理,数据模型管理,数据集成,数据查询API接口,低代码自定义数据处理任务模版,单任务及dag任务工作流调度等功能。集成了llm模块实现rag知识库问答,链接各数据源数据进行数据对话问答,交互式数据分析功能。
hirupert/sede
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data
sz128/Natural-language-understanding-papers
NLU: domain-intent-slot; text2SQL
yashbonde/text2sql
Convert natural language query to appropriate SQL, make ERPs cool again.
huybery/r2sql
:hot_pepper: R²SQL: "Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing." (AAAI 2021)
cami-la/mentoria_desmitificando_SQL_NoSQL_com_ChatGPT_Santander
Repositório referente a mentoria Desmestificando Banco de Dados SQL e NoSQL com ChatGT. Mentoria para os alunos participantes dos Bootcamps oferecido pela DIO em parceria com o Santander.
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
chatc/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"
aws-samples/query-databases-with-natural-language
This project uses the open-source model Mixtral 8x7B Instruct, deployed in Amazon SageMaker or invoked via API on Amazon Bedrock, to enable users to chat with their database using natural language, without writing any code or SQL query.
ibm-ecosystem-engineering/QueryCraft
The easiest and most comprehensive framework for building enterprise-grade NL2SQL solutions at scale.
guotong1988/table2answer
Table2answer: Read the database and answer without SQL https://arxiv.org/abs/1902.04260
guotong1988/weak-supervised-Rule-Text2SQL
Using Database Rule for Weak Supervised Text-to-SQL Generation https://arxiv.org/abs/1907.00620
weet-ai/text2sql-workshop
A basic Text2SQL App, powered by Langchain and OpenAI.
TristanLecourtois/NL2SQL
Text2SQL project comparing different LLM models
raffle-interns/SyntaxSQLNet
Python 3 reimplementation of SyntaxSQLNet, including several improvements
hrshtv/CTreeOT
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
HarryVolek/aisql
Use GPT to generate SQL
emdemor/llm-examples
Nesse repositório, eu sumarizo os casos de uso de chatGPT e LangChain que tenho estudado
Konex25/ChatDB
Project proposal for solving the "Talk to your data" task at hackathon "HackYeah 2023"
swastikmaiti/Fine-tuning-BART
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.
brettdidonato/BSD_Evals
LLM evaluation framework
klima7/Pol-Spider
Polish translation of spider dataset.
dinyad-prog00/llm--text2sql-chatbot-api
Large Language Models - Text2SQL Project
harusamei/zebura
a framework for querying data using natural language