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Vector search and semantic caching: Redis course | Zoonk

49. Vector search and semantic caching

Store embeddings, create vector indexes, and perform exact or approximate nearest-neighbor searches. Build semantic retrieval and semantic caching workflows, tune distance metrics and index parameters, and measure recall against latency.

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