Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One

TL;DR

Three distinct types of Retrieval-Augmented Generation (RAG) corpora exist, each requiring tailored architectures for optimal performance. Misidentifying the corpus type can lead to significant inefficiencies and increased costs in document intelligence projects.

Key Takeaways

• Identify the document shape before building retrieval systems.
• Avoid treating all documents as a flat pile to prevent inefficiencies.
• Use three questions to determine the appropriate architecture.
• Implement filtering based on document relationships to improve accuracy.