Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph
MarkTechPost Nina Lopatina
A tutorial demonstrates building an agentic event-venue operator using MongoDB Atlas for persistent memory, Voyage for multimodal embeddings, and LangGraph for agent orchestration, with a fictional tennis tournament scenario where an agent retrieves visitor history and operational context to make real-time decisions during weather disruptions. The demo includes a four-tab UI, FastAPI backend, vector and hybrid search endpoints, vision RAG for document retrieval, and optional Langfuse tracing, with all operational records, semantic memory, embeddings, and agent actions stored in a single MongoDB Atlas layer rather than scattered across separate systems. The implementation is presented as a reference demo for builders rather than a production platform, with deployment options for local development and Vercel hosting.
Why it matters
Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what happened. An event operator does not just need an agent that can summarize a weather report or generate a generic plan. The operator needs an agent that can remember what happened at […] The post Build an Agentic Event Venue Operator with MongoDB Atlas, Voyage, and LangGraph appeared first on MarkTechPost.
