The Complete RAG Playbook (Part 3): Advanced Architectures

Author(s): Ravi Kumar Verma Originally published on Towards AI. The Complete RAG Playbook (Part 3): Advanced Architectures In Part 2, we upgraded the basic RAG pipeline with 12 techniques that improved chunking, context, queries, and retrieval. Those techniques work great — until they don’t. Image by author using GeminiThis article discusses advanced architectures that enhance the RAG (retrieve-and-generate) pipeline beyond basic techniques. It introduces six innovative methods designed to tackle common failure modes encountered with simpler systems, such as generating hypothetical answers, providing self-regulating retrieval, and utilizing knowledge graphs for complex queries. The article emphasizes modular extensions and the application of techniques to optimize and improve the performance of the RAG system, thus facilitating better interactions between AI and users. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI