Last updated on January 2, 2026 by Editorial Team
Author(s): Ravi Kumar Verma
Originally published on Towards AI.
The Complete RAG Playbook (Part 3): Advanced Architecture
In Part 2, we enhanced the basic RAG pipeline with 12 techniques to improve chunking, context, queries, and retrieval. Those techniques work great – until they don’t.
This article discusses advanced architectures that extend the RAG (recover-and-regenerate) pipeline beyond basic techniques. It introduces six innovative methods designed to deal with common failures encountered in simple systems, such as generating hypothetical answers, providing self-regulating recovery, and using knowledge graphs for complex queries. The article emphasizes the application of modular extensions and techniques to optimize and improve the performance of the RAG system, thereby facilitating better interactions between AI and users.
Read the entire blog for free on Medium.
Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
