The RAG Blueprint

The RAG Blueprint is an open-source sample application designed to assist developers in creating highly accurate and scalable Retrieval Augmented Generation (RAG) solutions, using Vespa as its foundation. It addresses challenges such as optimizing searchable units, selecting retrieval strategies, and ranking documents through machine learning to enhance performance and accuracy. The blueprint provides a comprehensive guide for designing, evaluating, and deploying RAG applications, including techniques for automatic chunking and context relevance to cater to both agentic and human users. It emphasizes a data-driven approach to improve retrieval and ranking pipelines and supports diverse use cases with the same search application, aiming to simplify and democratize the development of production-ready RAG systems.

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