Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline

# Making AI Search Work With Random Files When companies need AI to search through a pile of unrelated documents—like a folder mixing contracts, reports, and policies—the trick is treating them as one organized document with a table of contents rather than trying to index them individually. This approach lets the AI quickly find what you're looking for by scanning summaries first, then diving into the specific file you need, similar to how you'd use a book's contents page before reading a chapter. It's a practical solution for messy, real-world document collections where there's no common structure to build from.
Enterprise Document Intelligence [Vol.1 #14B] - No shared fields means no index to build. One summary line per file plus each file’s own table of contents, and retrieval routes down two levels The post Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline appeared
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