Redis Flex keeps hot data in RAM and moves less-used data to SSD, with the RAM ratio set anywhere from 10% to 50% per workload. It costs up to 80% less per gigabyte than RAM alone, and it needs no code changes: redis.io/blog/scale-you…
Real-time data is only an advantage if agents can use it. Redis Context Retriever makes that possible. Schedule time with a Redis expert to see it in action: redis.io/context-retrie…
Redis Dev Hub brings tutorials, learning paths, and reference docs into one place, including hands-on guides for building real-time AI agents with Redis Iris and agent memory with LangGraph. Stay up to speed:
Most RAG chatbots demo well, then fall apart in production. Redis University's "Build a RAG Chatbot" lab is built around the difference. It covers embedding data with RedisVL, generating grounded answers, and adding semantic caching and memory. Start here: university.redis.io/course/ihjs7ii…
A model trained before Redis 8 will still give you the old defaults with total confidence. The Redis Docs MCP lets your agent read the current docs instead. You can connect it and read how we built it and what we measured here: redis.io/blog/how-we-bu…
