RAG Fundamentals and Advanced Techniques – Full Course
Taha GÖÇER
About this course
This course provides an in-depth understanding of Retrieval Augmented Generation (RAG), teaching you how to construct a RAG system tailored for chatting with documents. Dive into its core principles, learn to implement advanced techniques, and uncover common pitfalls, all while gaining hands-on experience in setting up your development environment with Python and relevant tools.
What you should already know
Familiarity with Python and basic programming concepts, along with an OpenAI account and API key, will be required to fully engage with the course material.
What you will learn
By the end of the course, learners will have the capability to build a functional RAG system that enhances large language models' responses using custom document datasets.