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#[wasm_bindgen(js_name = Foo)]

index.md focuses on content. It catalogs repository contents—each page listed with hyperlinks, brief descriptions, and optional metadata like dates or source counts. Organized by classification (entities, concepts, sources, etc.). The AI updates it during each integration. When responding to queries, the AI first consults the index to locate relevant pages before deeper examination. This proves remarkably effective at moderate scales (~100 sources, ~hundreds of pages) and eliminates need for embedding-based RAG infrastructure.

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