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A Practical Guide to Building RAG Systems: Series Introduction
Latest   Machine Learning

A Practical Guide to Building RAG Systems: Series Introduction

Last Updated on January 2, 2026 by Editorial Team

Author(s): Angela & Kezhan Shi

Originally published on Towards AI.

A shared framework behind diverse use cases

If you try to build a RAG system, you may face these concrete problems very quickly:

A Practical Guide to Building RAG Systems: Series Introduction

Document QA — all images by author

This article serves as an introduction to a series focusing on building retrieval-augmented generation (RAG) systems. It highlights common challenges faced during system development, such as connecting questions and answers accurately, justifying answers, and adapting systems to handle diverse queries. The series will explore theoretical and practical aspects of RAG, provide problem-driven case studies, and cover the technical core components essential for effective implementation.

Read the full blog for free on Medium.

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