RAG-Based Conversational Chatbot Development

📖 Overview: Developed a custom Retrieval-Augmented Generation (RAG) AI chatbot capable of handling dynamic conversations and delivering intelligent, context-aware responses in real time.

LangChain + LLM Integration for generating context-aware, AI-powered replies

⚙️ Key Features: ✅ Retrieval-Augmented Generation (RAG) for contextually enriched answers ✅ Real-time messaging and conversation history tracking ✅ Custom-built frontend for interactive chat experience ✅ LLM-driven responses for intelligent, human-like conversations

📊 Result: Successfully delivered a functional, AI-powered chatbot combining retrieval-based context enrichment with LLM-generated responses for dynamic, personalized conversations.