Ai Foundations

Building RAG Systems That Actually Work

Most RAG systems break because teams skip evaluation, retrieval discipline, and workflow basics. Here is what to focus on first.

21 May 20264 min read
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Why RAG breaks in practice

Retrieval-augmented generation often looks easy in demos because it is tested on clean examples. In real products, relevance, chunking, evaluation, and workflow discipline matter more than adding one more framework.

How to learn it well

Start with the core path first. Strong prompting, practical tool use, evaluation habits, and project thinking create a better base for advanced topics like RAG and agents.

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Comments

Questions, counterpoints, and practical additions are welcome here.

RT
Reader TwoMay 21, 2026, 03:11 PM

Clear explanation. This made RAG feel less magical and more like something you can learn with the right sequence.

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