@lindavivah: Context Engine Architecture explained in 2 min ⏱️ .. walk with us in SF! Love how the Head of Context Engine at Redis, Simba Khadder explains why we need this architecture: "Now we have agents that have hands. They need to be able to get data, act on data, search for more data." Here's the Context Engine Architecture breakdown: 🔹 Systems of record: your CRMs, databases, all the places your data already lives (you don't want to wire an agent into 55 of them) 🔹 ETL: pulls it all into one materialized view, basically one live copy of your data that agents can actually use 🔹 Semantic layer: describes that data the way you'd explain it to a person: orders, users, items, not fields and tables 🔹 MCP: the open standard that lets the agent go grab that context on its own 🔹 Internal context: the agent also remembers what it's done and caches answers it already figured out, so it doesn't solve the same thing twice 💡 Put together, context stays fresh, navigable, and fast, and it compounds as the agent works. That's the general pattern, whatever stack you use. Redis ships it as Redis Iris: RDI, Context Retriever, Agent Memory, and LangCache. #techtok #EduTok

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Friday 21 August 2026 01:55:12 GMT