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Towards Data Science0 Hot0 comments19 min read
Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One
Enterprise document collections are not one kind of thing, and treating them all as a flat pile of chunks for similarity search is the reason RAG systems that work on a demo folder fail on a real shelf. Three diagnostic questions determine which of three shapes a collection has: an unrelated pile, a homogeneous typed corpus, or bundles of case files, each requiring a different architecture. A re-ranker does not fix a missing-candidate problem, and version/supersession relationships cut across all three shapes and need their own relations table and validity dates. A baseline test on five NIST PDFs shows four out of five document-level calls returning nothing usable, illustrating the wasted work of querying every document instead of narrowing the candidate set first.
Source: https://towardsdatascience.com/three-kinds-of-rag-corpus-and-what-it-costs-to-build-for-the-wrong-one. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
