Build RAG Applications Using MongoDB
Where?
Event Type: In-Person
Location: 1633 Broadway, 38th Floor · New York, NY
LLMs are great at answering generic questions, but how do you get them to answer questions about your organization’s data? In this workshop, you will learn the foundational concepts of Retrieval Augmented Generation (RAG), including chunking, embedding, and semantic search. You will also gain hands-on experience by building an end-to-end, RAG-based chatbot using MongoDB Atlas and open-source LLMs. So, be sure to bring a laptop to get the most out of this session.
You will be provided with all the resources required to successfully execute the hands-on portions of the workshop, including a GitHub repository of Jupyter Notebook templates with pseudocode. During the workshop, you will replace the pseudocode in the templates with your code.
At the end of the workshop, you will also be able to check your learning and earn a skill badge to share with your network!
Michael Lynn
Michael is a Startup Advisor, International Conference Speaker, Podcaster, Software Engineer and Developer Advocate. He launched and built the MongoDB podcast network and strategies for Live Audio and Video Streaming content at MongoDB.