Assessment-1: Implementing RAG Model with GenAI Stack

[shivayapandey]

In this project, I utilized AI Planet's GenAI Stack to build a Retrieval-Augmented Generation (RAG) model. The RAG model integrates vector embeddings, Large Language Models (LLMs), and retrievers to create a chatbot capable of answering questions based on video content. Leveraging Hugging Face's embedding technology and LLMs, along with Chroma as the retriever, I developed a comprehensive solution for extracting insights from educational videos.

The example video chosen for this project focuses on biotechnology, serving as a demonstration of the chatbot's capabilities in an educational context. However, the versatility of the model allows for application in various domains beyond education.