This tutorial demonstrates how to build an agentic event venue operator using MongoDB Atlas, Voyage AI, and LangGraph. The system is designed to provide agents with persistent memory, operational context, and the ability to record outcomes. The demo simulates managing a fictional tennis tournament, the MongoDB Open, during a rain delay, showcasing the agent's ability to retrieve visitor and venue context, respond to live changes, and remember past events for future operations. The architecture utilizes MongoDB Atlas for data storage and retrieval, Voyage AI for embeddings, and LangGraph for agent execution, with optional tracing via Langfuse. AI
IMPACT Enables more sophisticated AI agents with persistent memory and operational context for real-world applications.
RANK_REASON This is a tutorial demonstrating how to build a specific application using existing AI and data technologies, rather than a novel AI release or significant industry event.
- Claude Vision
- Langfuse
- LangGraph
- MongoDB Atlas
- Voyage AI
- FastAPI
- MongoDB Open
- New York City
- PwC
- U.S. Census Bureau
- US Open
- USTA
- Vercel
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