README.md

metadata

title: Text-to-SQL RAG with CodeLlama
colorFrom: indigo
colorTo: cyan
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.