Gen AI RAG Chatbot Workshop is a hands-on learning session designed to guide participants through the process of building a cutting-edge Retrieval-Augmented Generation (RAG) chatbot from scratch. This workshop dives into key concepts and technologies, including:

Dependency Setup: Preparing the environment for chatbot development.

GROQ: Exploring query optimization techniques.

LangChain: Building conversational pipelines for LLMs.

PDF Parsing & Tokenizers: Extracting and processing textual data.

ChromaDB: Implementing vector-based storage for efficient retrieval.

Llama Models: Leveraging open-source models for natural language understanding.

Streamlit UI: Creating an intuitive and interactive chatbot interface.

By the end of the workshop, attendees will have a functional chatbot capable of retrieving accurate, context-aware information from a knowledge base and generating human-like responses. This session is perfect for developers, AI enthusiasts, and tech-savvy beginners eager to explore the capabilities of generative AI in practical applications.