---
title: Text-to-SQL RAG with CodeLlama
colorFrom: indigo
colorTo: blue
sdk: gradio
app_file: app.py
python_version: "3.10"
pinned: false
---

# Text-to-SQL RAG with CodeLlama

This Space runs a Retrieval-Augmented Generation (RAG) system that converts natural language questions into SQL.

- Primary LLM: CodeLlama (via ctransformers)
- Vector store: ChromaDB (recreated on first run if empty)
- UI: Gradio (`app.py`)

## Files
- `app.py`: Gradio app entrypoint
- `requirements.txt`: Dependencies
- `rag_system/`: Core RAG components
- `data/`, `prompts/`: Runtime data and prompt templates

## Notes
- SQLite databases are not committed; they are generated at runtime.
- If the Space fails to start, check the Logs tab for missing packages and update `requirements.txt` accordingly.