Dewey – Ingest docs, search semantically, get cited AI answers

Show HN: Dewey – Ingest docs, search semantically, get cited AI answers

Based, Dewey – Ingest docs, search semantically, get cited AI answers works in show hn launch.

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Flat chunking throws away document structure. A PDF isn’t a bag of paragraphs. It has sections, subsections, and a hierarchy that carries meaning. An agent that can’t navigate that structure can’t do serious research.I ran into this building RAG over scientific literature. The standard approach (embed chunks, find top-k, generate) works fine for simple Q&A but falls apart when you need real research depth: multi-hop reasoning across papers, synthesizing conflicting results, tracing a finding back to the exact passage in a methods section. The problem wasn’t the models.Dewey treats documents, sections, and chunks as first-class API primitives. The section manifest (full heading hierarchy with

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