u/alexbevi

Hi everyone! I’m a Product Manager on the Developer Experience team at MongoDB, and I’d love to learn more from this community about how you’re using MongoDB in AI applications.

A few things I’m especially curious about:

• What are you currently building with AI and MongoDB?
• What frameworks, libraries, or tools are you using? LangChain, LangGraph, LlamaIndex, Spring AI, Mastra, CrewAI, Vercel AI SDK, something else?
• Are you building agents, RAG apps, memory systems, workflow automation, eval pipelines, internal copilots, or something totally different?
• Where has MongoDB worked well for your use case?
• Where has it been harder than expected?
• What docs, integrations, examples, or product improvements would make your life easier?

I’m especially interested in hearing about real-world workflows: what you tried, what worked, what didn’t, and where you had to build around gaps.

Also, if you’ve built an open source project or example using MongoDB in an AI workflow, please share it! We’d love to see what the community is creating.

Thanks in advance. I’m here to listen and learn.