Community information and announcements including Welcome posts for introductions, a Getting Started guide, and The Treehouse for casual off-topic discussion.

The MongoDB Content Library is a collection of tutorials by MongoDB Advocates, Community Champions, and Community Creators about interesting, fun, and unique ways MongoDB is used in AI space and different programming languages. You can leave your feedback by commenting on the topic.

Discussions about MongoDB Atlas including Charts, Data Lake, Search, and Serverless.

Discussions about crud operations, aggregation, indexes, performance, data modelling, schema validation, change streams, and transactions.

Discussions about developing applications with MongoDB Atlas App Services and Realm, including Realm SDKs, Atlas Device Sync, Atlas Data API, Atlas GraphQL API, and Atlas Triggers.

Discussions for database administrators who are installing, configuring, securing, monitoring, upgrading, and scaling MongoDB deployments.

Product announcements and release notes shared by the MongoDB Product and Engineering teams.

MongoDB User Groups (MUGs) bring people together to learn from and connect over their shared interest in MongoDB technologies.

MongoDB for Academia is designed to help educators & students learn about MongoDB by providing a wide range of resources, this category contains discussions and questions from students & educators about our offers, or teaching and learning MongoDB.

Discussion about free self-paced courses hosted on the new MongoDB University platform (learn.mongodb.com)

Discussions that don’t fit into other MongoDB categories, such as documentation questions.

Byte-size knowledge sharing on MongoDB topics curated by the MongoDB Community team.

This forum is a the best place to ask questions related to our AI Hackathons, or in-between events while working on a hackathon project. Questions in this category might be about the code, rules, agenda, food, documentation, prizes or where to find resources required when working with GenAI tooling such as MongoDB Vector Search.