Redis Semantic Cache Semantic caching for LLM responses with Redis Cloud's LangCache service. Stores prompts as embeddings; subsequent semantically-similar prompts return the cached response without re-calling the model. LangCache is currently in preview on Redis Cloud. Features and behavior may change. When to apply - Wrapping an LLM call (OpenAI, Anthropic, etc.) with a cache layer to cut cost and latency. - Caching RAG answers, classification outputs, or any deterministic LLM workload. - Tuning the precision/hit-rate trade-off for a semantic cache. - Splitting one application's LLM workloa…