SE Radio 673: Abhinav Kimothi on Retrieval-Augmented Generation

SE Radio 673: Abhinav Kimothi on Retrieval-Augmented Generation

Author: team@se-radio.net (SE-Radio Team) June 18, 2025 Duration: 55:55

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.

Brought to you by IEEE Computer Society and IEEE Software magazine.


For developers who build the world's most critical systems, Software Engineering Radio offers deep, substantive conversations that move beyond the hype cycle. This isn't about quick tips or news flashes; it's a dedicated audio library for career engineers seeking to solidify their foundational knowledge and explore advanced concepts. Each episode is crafted as an enduring resource, featuring either a comprehensive tutorial breaking down a specific technology or methodology, or a detailed interview with a leading practitioner shaping the field. You'll hear focused discussions on everything from low-level systems architecture and programming language design to team dynamics and project management, all through the lens of professional software creation. The content is exclusively produced for this podcast, ensuring thoughtful, in-depth analysis you won't find simply repackaged from conference talks. If your work demands a rigorous understanding of the craft, this is the podcast for you.
Author: Language: en-us Episodes: 100

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