Cataloguing 10,000 URLs is no longer just an SEO exercise—it is a data architecture challenge.

In this episode, we explore how to move from basic keyword indexing to AI-powered semantic search that runs entirely offline. Learn how to audit and extract URLs, structure metadata, detect duplicates with hashing, automate maintenance, and build a powerful local search engine using vector embeddings.

We also contrast traditional keyword matching with AI-driven semantic retrieval and explain how local AI chips can generate embeddings and perform fast, private full-text search without any internet connection.

This is about transforming a static website into an intelligent knowledge system.

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