Retrieval Augmented Generation (RAG) with MongoDB

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RAG with MongoDB / Identify RAG Architecture

Course Description:

Discover how to build Retrieval-Augmented Generation (RAG) applications with MongoDB. Learn to integrate vector search, optimize retrieval workflows, and enhance LLM-powered apps.

Upon completion of the RAG with MongoDB skill check, you will earn a Credly Badge that you are able to share with your network.

Learning Objectives

Identify the Architecture of a RAG Application

Describe the components of a RAG application and understand how they interact with each other to make the most of your application.

Describe Chunking Strategies

Results from your RAG application are only as good as the data you give it, learn how to chunk data and prepare it for use in a RAG system.

Create a RAG Application

Build a RAG application with LangChain and MongoDB that can answer questions based on your own data.