Overview
An advanced chatbot application designed to help students with physics concepts using Retrieval-Augmented Generation (RAG) and Google's Gemini API.
Key features
- Intelligent Q&A: Natural language processing for physics queries
- RAG Architecture: Combines retrieval and generation for accurate responses
- Context-Aware: Maintains conversation context for better understanding
- Educational Focus: Specialized knowledge base for physics concepts
- Real-time Responses: Fast and accurate answer generation
- User-Friendly Interface: Clean and intuitive chat interface
Technical decisions
- Backend Framework: Flask for lightweight and efficient API
- AI/ML Stack: LangChain for workflow orchestration
- Language Model: Google Gemini API for advanced reasoning
- Vector Database: Efficient similarity search for relevant content
- NLP Pipeline: Advanced text processing and understanding
- Deployment: Scalable cloud infrastructure
- Custom-trained knowledge base specifically for physics education
- Advanced prompt engineering for educational contexts
- Efficient retrieval mechanisms for fast response times
- Continuous learning capabilities for improved accuracy
