RAG with MongoDB
4k+ interested Geeks
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Discover how to build Retrieval-Augmented Generation (RAG) applications with MongoDB. Learn to integrate vector search, optimize retrieval workflows, and enhance LLM-powered apps.
Beginner to Advanced1 Week
4k+ interested Geeks
Course Overview
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 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.
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.
Build a RAG application with LangChain and MongoDB that can answer questions based on your own data.
Note: The AI models used in this learning content, including LLMs and embedding models, are constantly evolving and may have been updated since its creation.
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Course Content
01Identify RAG Architecture
- What is RAG?
- AI Integrations and Frameworks
02Describe Chunking Strategies
- Preparing the Data
- Chunking Strategies
03Create a RAG Application
- Retrieving the Data
- Answer Generation
Pricing
Frequently Asked Questions
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Will I get a certificate after completing this program?
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Is this course beginner friendly ?
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Is this course free of cost?
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