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.

🎨 Visual Theme

The application features a beautiful sepia-toned color scheme that gives it a vintage, artistic feel perfect for Adobe Photoshop tutorials:

• 🌅 Light Theme (default): Warm cream and tan colors reminiscent of old photography
• 🌙 Dark Theme: Rich coffee and amber tones for comfortable nighttime usage
• 🖼️ Sepia Filter: Subtle sepia treatment on images for visual consistency
• ⚡ Smooth Transitions: Elegant animations when switching between themes

Users can toggle between light and dark variants using the theme switcher in the interface.

🚀 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