Embedding Cache System — Eliminate Redundant Embedding API Calls

I will build an embedding cache system — storing generated embeddings for reuse when the same text is embedded again, implementing semantic deduplication to avoid re-embedding near-identical texts, and delivering significant API cost reduction for applications that repeatedly embed similar or identical content. Embedding API costs accumulate invisibly in applications that embed the same content repeatedly — a customer service chatbot that embeds the same system context for every session, a RAG system that re-embeds unchanged documents, or a search system that re-embeds common queries all pay repeated embedding costs that a caching layer eliminates entirely.

The cache covers exact-match embedding cache for identical texts, semantic deduplication for near-identical texts using locality-sensitive hashing, cache hit rate monitoring, cost savings tracking, TTL-based cache invalidation, and a cache management interface.