RAG Beyond Basics: Course Announcement

In the video, Prompt Engineering announces a new course titled ‘RAG Beyond Basics.’ This course is designed to teach participants how to interact with text-based documents using large language models (LLMs), with a specific focus on PDFs. The course is aimed at SaaS founders, developers, executives, and hobbyists with a background in Python. The curriculum covers a basic RAG (Retrieval-Augmented Generation) pipeline and its components, followed by advanced techniques such as reranking, query expansion, multi-query retrieval, and hypothetical document embedding. Participants will also learn how to combine multiple retrieval methods and use a pyramid document retriever to expand context. The course emphasizes not only the techniques but also the practical applications and scenarios for their use. Throughout the course, participants will build a fully functional Python package that can be used in their own projects. The course primarily uses LLMs and embedding models from OpenAI but will also cover how to use local models to eliminate reliance on external APIs. The instructor, who has a PhD and over seven years of industry experience, has created popular open-source projects like LocalGPT. A dedicated channel on the Prompt Engineering Discord server will be available for participants to interact with the instructor and peers.