Generating vector embeddings for semantic search locally

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Phil Eaton

A guide on generating vector embeddings locally for implementing semantic search functionality. Covers the process of creating embeddings without relying on external APIs, enabling developers to build search systems that understand meaning rather than just matching keywords.