Reduce LLM costs with Redis

In this hands-on workshop, you’ll build an AI support application that uses Redis to make responses faster, cheaper, and more reliable. You’ll implement semantic caching with RedisVL to reuse answers for similar questions, and add semantic routing to direct queries to the right tool or knowledge source. By the end, you’ll understand practical patterns to cut token usage, improve latency, and scale GenAI applications more efficiently using Redis.

• Hands-on build: create an AI support app end-to-end
• Implement semantic caching with RedisVL to cut LLM calls
• Add semantic routing to send queries to the right tool/flow
• Practical tips to reduce latency + token costs in production
• Live guidance + Q&A with Redis experts