• Deep Dive into RAG
• Improving Pre-Retrieval Processe
• Improving Retrieval Processed
• Improving Post-Retrieval Processed
• RAG Evaluation
• Further Reading: WOG RAG Playbook

The Retrieval-Augmented Generation (RAG) Playbook is a comprehensive guide designed to help developers, particularly in Whole of Government (WOG), navigate the complexities of building and deploying RAG systems.

This playbook offers practical advice on constructing RAG applications, from no-code/low-code solutions to custom pipelines using open-source frameworks. It also provides metrics for evaluating RAG systems and includes experiments on realistic government use cases to demonstrate how to iteratively improve RAG performance.

As RAG technology evolves, this playbook serves as a foundational resource for understanding and leveraging its capabilities effectively.

RAG is only as good as the retrieved documents’ relevance and quality. Fortunately, an emerging set of techniques can be employed to design and improve RAG systems. The guide has focused on grouping and summarizing many of these techniques (see below above) and will share some high-level strategic guidance in the guide. Developers or builders can and should experiment with using different pieces together.