Similarity Cache Hit to Boost the AI Application Efficiency
In this fast-paced world of AI Development, user queries often come in different shapes and forms—even if the underlying intent is the same. Traditional caching mechanisms typically treat these variations as entirely new queries, leading to redundant database calls, higher latency, and increased costs. Similarity Cache Hit is a novel approach leveraging vector embeddings and …
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