Introduction to RAG
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1 Hour
Learn about the basics of RAG, including agentic RAG and vector databases.
Taught by
Sander Schulhoff
Founder & CEO, Learn Prompting
Course Overview
Learn about the basics of RAG, including agentic RAG and vector databases.
What will you learn?
RAG
Understand and Build RAG systems
Use Cases
See RAG systems Applied to Real World Tasks
Skills you will gain
Meet Your Instructor
Sander Schulhoff
Founder & CEO, Learn Prompting
As a researcher, he has authored multiple award-winning papers alongside experts from OpenAI, Microsoft, ScaleAI, the Federal Reserve, HuggingFace, and others. His paper on HackAPrompt was awarded Best Paper at EMNLP 2023 (selected out of 20,000 submitted papers), cited by OpenAI in their paper on mitigating prompt injections, and used by teams at OpenAI, Amazon, and ArthurAI. His most recent research paper, The Prompt Report, co-authored with researchers from OpenAI and Microsoft, has quickly become the latest foundational prompting paper in the field, just weeks after its launch.
Course Syllabus
Introduction to Retrieval-Augmented Generation
What is RAG
How does RAG work?
What is the difference between RAG and Agentic Rag?
Agentic RAG allows the agent to decide what information to pull in.
What are vector databases
GenAI integrated databases that allow for better retrieval.
