Lecture 32: Complete RAG Chatbot - Build Web App with Document Q&A & Memory скачать в хорошем качестве

Lecture 32: Complete RAG Chatbot - Build Web App with Document Q&A & Memory

Build a production-ready RAG chatbot with web interface! Learn to create interactive document Q&A systems with conversation memory, hybrid search, and seamless React frontend integration. 🎯 What You'll Learn: • Complete RAG chatbot architecture • Vibe Coding: AI-assisted rapid development methodology • Web interface development with React & Vibe Coding • Conversation memory (last 3 messages for continuity) • Hybrid search implementation (BM25 + semantic) • Document preprocessing and chunking strategy • Real-world implementation with Indian Constitution PDF • System prompts and context augmentation • LLM response generation and formatting • Cross-encoder reranking integration • Query expansion and multi-turn conversations • Fast prototyping with AI-guided development 💡 Key Topics Covered: ✅ Full-stack RAG chatbot development ✅ Vibe Coding methodology for rapid development ✅ AI-assisted code generation with natural language ✅ 135-page document processing (451 chunks) ✅ Hybrid retrieval (keyword + semantic) ✅ Conversation memory management ✅ Dynamic context retrieval per query ✅ System prompt engineering ✅ RAG pipeline orchestration ✅ React web app with Vibe Coding ✅ Real-time response generation ✅ Data preprocessing best practices ✅ Document metadata and filtering ✅ Fast prototyping & iteration 📚 Practical Examples: • Building chatbot from 135-page Constitution PDF • Using Vibe Coding to generate React components • Implementing conversation history tracking • Hybrid search combining BM25 + semantic • System prompt for accurate responses • Multi-document context retrieval • Reranking results for accuracy • React web interface with Vibe Coding assistance • AI-guided UI/UX development • Question variation handling • Context-aware answer generation • Metadata-based document filtering 🛠️ Tools & Libraries: Python • Langchain • React • Chroma DB • OpenAI API BM25 Retriever • Hybrid Search • Claude Sonnet 4.5 • Vibe Coding Contextual Compression • Cross-Encoder Reranking AI-Assisted Development Workflow Perfect for building intelligent document Q&A systems and production chatbots! #GenAI #RAGChatbot #WebDevelopment #DocumentQA #Python #React #Langchain #LLM #ClaudeAI #MachineLearning