README.md

metadata

title: PsTuts RAG
emoji: 💻
colorFrom: yellow
colorTo: indigo
sdk: docker
pinned: false
license: mit
short_description: Agentic RAG that interrogates the PsTuts dataset.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

🤖 PsTuts RAG System

An agentic RAG system for the PsTuts dataset that provides AI-powered answers to Adobe Photoshop questions using video tutorial transcripts.

🚀 Getting Started

1. Install dependencies:

# Basic installation (includes Jupyter support)
pip install -e .

# With development tools
pip install -e ".[dev]"

# With web server components
pip install -e ".[web]"

# With additional extras (numpy, ragas, tavily)
pip install -e ".[extras]"

# Full installation with all features
pip install -e ".[dev,web,extras]"

2. Run the app:

chainlit run app.py

3. Open your browser and navigate to http://localhost:8000

💡 Features

• Retrieval-augmented generation (RAG) for Photoshop tutorials
• Multi-agent system with team supervisor
• Web search integration via Tavily
• Semantic chunking for better context retrieval
• Interactive chat interface through Chainlit