SE Radio 673: Abhinav Kimothi on Retrieval-Augmented Generation

In this episode of Software Engineering Radio, Abhinav
Kimothi sits down with host Priyanka Raghavan to explore
retrieval-augmented generation (RAG), drawing insights from
Abhinav's book, A Simple Guide to Retrieval-Augmented Generation.


The conversation begins with an introduction to key concepts,
including large language models (LLMs), context windows, RAG,
hallucinations, and real-world use cases. They then delve into
the essential components and design considerations for building a
RAG-enabled system, covering topics such as retrievers, prompt
augmentation, indexing pipelines, retrieval strategies, and the
generation process.


The discussion also touches on critical aspects like data
chunking and the distinctions between open-source and pre-trained
models. The episode concludes with a forward-looking perspective
on the future of RAG and its evolving role in the industry.


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Software magazine.