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• 02:19, 11 November 2026 CarmineQ62 talk contribs created page Semantic Caching And The Near-Miss Problem: Why A Single Similarity Threshold Is Not Enough (Created page with "<br>Semantic caching is a practical way to cut the cost and latency of large-language-model applications. Instead of asking the model to generate a fresh answer every time, the system stores the [https://www.ft.com/search?q=response response] to a previous query and reuses it when a new query means the same thing. To decide whether two queries are "the same," the cache compares their embeddings—vectors that represent meaning—using cosine similarity. If the cosine sim...")