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Wiring Core ML's Neural Engine to a Quantized On-Device Embedding Model for Real-Time Semantic Search

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--- title: "On-Device Semantic Search with Core ML ANE: Quantized Embeddings, HNSW Indexing, and the Memory Ceiling That Actually Matters" published: true description: "Deploy a quantized MiniLM-L6 INT8 model on iPhone via Core ML, force ANE scheduling, profile token throughput with Instruments, and keep your HNSW index under the on-device memory ceiling." tags: [ios, swift, mobile, architecture] canonical_url: https://mvpfactory.co/blog/on-device-semantic-search-core-ml-ane-quantized-embeddings --- By the end of this tutorial, you will have a fully on-device semantic search pipeline: a quanti

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