Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer
About this course
This course dives into the fundamentals of Retrieval Augmented Generation (RAG), focusing on how to implement RAG from scratch with Python. In a series of engaging videos, Lance Martin, a software engineer at LangChain, guides you through the process of integrating private data with large language models (LLMs), covering topics such as indexing, retrieval, and generation. Gain hands-on experience with techniques for document embedding, query transformation, and model prompts to enhance model performance with external data.
What you should already know
Basic knowledge of programming in Python and an understanding of machine learning concepts is required before taking the course.
What you will learn
By the end of the course, learners will have a practical understanding of how to implement RAG, including the ability to build frameworks that combine LLMs with external datasets effectively.