<ul><li>Conceptual blueprint of an AI-driven file search architecture inspired by FTP-style indexing logic.</li><li>Consists of File System Interface, Indexing Engine, AI Search Layer, Crawler/Sampler Component, and Integration/Output Layer.</li><li>Example use case in a Scientific Research Repository for efficient searching of academic papers, datasets, and code archives.</li><li>Includes Technical Implementation examples using Elasticsearch and Python for indexing file metadata, generating semantic embeddings, and semantic search.</li></ul>

Rabbit Hole Internet Indexer Conceptual Blueprint

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