RAG (Retrieval-Augmented Generation)
An AI pattern where an LLM retrieves relevant data from a knowledge base before generating a response. In automation: when a support ticket arrives, Claude searches your internal docs, then drafts a specific, accurate reply not a generic one.
Expert insight
RAG is why AI-powered support can answer "What's our refund policy for orders over £500?" accurately, not just generically.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, RAG (Retrieval-Augmented Generation) is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the AI & Agents category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Technical term used in production automation systems.
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