GitHub / ashishsalunkhe / Text2SQL
Natural language interface for querying clinical data. This project uses Retrieval-Augmented Generation (RAG) with GPT-3.5 to translate user questions into SQL over a subset of the MIMIC-III dataset, enabling clinicians and researchers to extract insights without SQL knowledge.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ashishsalunkhe%2FText2SQL
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 26.4 KB
Dependencies parsed at: Pending
Created at: 12 days ago
Updated at: 10 days ago
Pushed at: 10 days ago
Last synced at: 10 days ago
Topics: clinical-data, datascience, gpt3, healthcare, llm, mimic-iii, rag, retrieval-augmented-generation, semantic-search, sql-generation, sqlite, streamlit, text-to-sql