Semantic Caching

Semantic Caching intercepts user queries and converts them into vector embeddings to check for conceptual similarity against previously cached requests. If a user asks 'How do I reset my password?' and the cache contains an answer for 'Steps to change password', it instantly returns the cached response. This slashes inference costs, drastically lowers latency, and mitigates compute bottlenecks.