This is the third and final article in the series. Part 1 covered the RAG foundation — loading runbooks into a vector st...

This is the third and final article in the series. Part 1 covered the RAG foundation — loading runbooks into a vector store and grounding model answers in real documentation. Part 2 added short-term and long-term conversational memory. This article introduces stateful workflow checkpointing, tool calls, and a pause/resume mechanism...#ai #mongoDBhttps://foojay.io/today/building-an-ai-powered-operations-assistant-with-spring-ai-and-mongodb-atlas-part-3-stateful-workflows-and-human-in-the-loop/