MongoDB plans an AMA on production RAG and AI agents
MongoDB is preparing a Reddit AMA with Max Marcon, Director of Product at MongoDB, Mikiko Bazeley, Staff Developer Advocate, and Yang Li, Senior SA. The session will cover , RAG, agents, and how to build AI apps that work in real production use. A MongoDB employee is collecting practical questions from people who build RAG systems.
The suggested questions focus on where information should live: retrieval, prompts, tool calls, or memory. They also ask how teams can tell whether retrieved information is actually improving answers. Other topics include keeping information fresh, handling , filtering by metadata, and deciding when a general database plus is enough versus when a more specialized system is needed.
Another key question is what tends to fail first when agents use RAG as a tool and move from a prototype to production.
Key points
- MongoDB is preparing a Reddit AMA about RAG, agents, and production AI apps.
- The session includes MongoDB product, developer advocacy, and solutions leaders.
- The collected questions ask what belongs in retrieval, prompts, tool calls, and memory.
- The discussion may cover how to check whether retrieved information actually helps.
- Production issues include freshness, , , and whether is enough.