video1.0<iframe src="https://www.loom.com/embed/7d196f914db442a592a66ec75c1f9efb" frameborder="0" width="1664" height="1248" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12481664Loomhttps://www.loom.com12481664https://cdn.loom.com/sessions/thumbnails/7d196f914db442a592a66ec75c1f9efb-286e016109901409.gif5018.9238In this video, I walk through the process of building an AI-powered MCP RAG server to help manage and index research papers effectively. We discuss the importance of semantic chunking and using the FAISS index for efficient information retrieval. I also highlight the need to ensure that our .env file is secure and not committed to the repository. I request viewers to follow along by testing the tools and implementing the phases as we develop the server. Overall, this session aims to equip you with the knowledge to create a robust system for handling academic research efficiently.