Unit 1: RAG Fundamentals Complete ✅

Features

• Basic RAG implementation using LangChain and OpenAI
• Document processing and chunking
• Embedding generation using text-embedding-ada-002
• In-memory vector store for similarity search
• Query processing with context retrieval
• Comprehensive demo output and documentation

Documentation

• See RAG-output.md for demo results
• Full implementation details in Unit 1 README

Completed Assignment 2 of the RAG Chat project, implementing a real-time chat application using WebSockets.

Features:

• Real-time bidirectional communication using Socket.IO
• User management with dynamic username assignment
• System messages for user join/leave events
• Asynchronous welcome message demonstration
• Clean UI with message history and auto-scrolling

Demo screenshot and server logs show successful real-time chat between multiple users with proper connection handling and message broadcasting.