ggeop/DataDialogueLLM

Data Dialogue enables natural language querying of databases by integrating LLMs with SQL databases.

29
/ 100
Experimental

This tool helps business analysts, data scientists, and operations managers get quick answers from their company's databases without writing complex code. You provide it with a question in plain English, and it translates that into the necessary database query, fetching and displaying the relevant data. This is for anyone who needs fast, conversational access to data stored in systems like PostgreSQL, MySQL, or even CSV files.

No commits in the last 6 months.

Use this if you frequently need to retrieve specific information from databases but lack SQL expertise, or if you want to accelerate data exploration through natural language conversations.

Not ideal if you need to perform highly complex data transformations or build intricate data pipelines, as it focuses on conversational querying rather than full-fledged data engineering.

data-analysis business-intelligence database-querying data-exploration reporting
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

14

Forks

1

Language

Python

License

MIT

Category

text-to-sql-rag

Last pushed

May 03, 2025

Commits (30d)

0

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