🤖 Simple RAG Chat Application with Foundry Local

A minimal Retrieval-Augmented Generation app with Streamlit and Foundry Local.

1. Make sure Foundry Local is running on http://localhost:8000

2. Copy .env.example to .env and configure:

FOUNDRY_API_KEY=your-foundry-api-key
FOUNDRY_API_URL=http://localhost:8000
FOUNDRY_MODEL=llama2
FOUNDRY_EMBEDDING_MODEL=nomic-embed-text

3. Install dependencies:

pip install -r requirements.txt

4. Run:

streamlit run app.py

5. Upload a document (PDF, DOCX, or TXT) and ask questions about it!

• 📄 Upload documents in multiple formats
• 🔍 Semantic search via Foundry embeddings
• 💬 Chat with local Foundry LLM
• 📖 View source citations

• app.py - Main Streamlit application
• config.py - Foundry configuration
• document_manager.py - Document processing
• vector_store.py - Embeddings and search