Posted inAI
RedisVL: Building High-Speed Semantic Caching and Vector Search for LLM Applications with Redis
RedisVL lets you use Redis as a semantic cache and vector store for LLM applications — with cache hits under 10ms versus 2–3 second API calls. This guide covers setup from scratch, building a vector search index, and practical tips for tuning distance_threshold based on real production experience.