🧠RAG: What Nobody Tells You When Building Your AI Assistant
Last Updated on August 29, 2025 by Editorial Team
Author(s): Prisca Ekhaeyemhe
Originally published on Towards AI.
Everyone says RAG is easy until you actually try to build one.
When I first heard about Retrieval-Augmented Generation (RAG), it sounded like magic. None members can read it here
This article delves into the complexities of building a Retrieval-Augmented Generation (RAG) system, highlighting crucial insights that are often overlooked. The author addresses the misconceptions surrounding the simplicity of RAG, elaborating on the importance of document chunking, the variability of embedding models, and the necessity of understanding retrieval processes. Throughout the piece, practical tips and personal anecdotes illustrate the learning curve and the iterative nature of developing an effective RAG system, ultimately aiming to provide guidance for others embarking on similar projects.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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