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…
We’re welcoming a new chapter in the Lion City. 🇸🇬 Here’s to one more home for the team building the memory and context layer for agentic AI from Singapore.
Is your agent losing context, carrying stale memories, or retrieving the wrong information? Bring your broken agent. We’ll work on it live on October 21: redis.io/resources/vide…
