Voyage AI joins MongoDB to power more accurate and trustworthy AI applications on Atlas.

Explore Developer Center's New Chatbot! MongoDB AI Chatbot can be accessed at the top of your navigation to answer all your MongoDB questions.

MongoDB Developer
Python
plus
Sign in to follow topics
MongoDB Developer Center
chevron-right
Developer Topics
chevron-right
Languages
chevron-right
Python
chevron-right

Experience the Beanie ODM: Build Robust Data Models in Python

Published May 12, 2025
FastApiPython
Facebook Icontwitter iconlinkedin icon
Rate this video
star-empty
star-empty
star-empty
star-empty
star-empty
✅ Try MongoDB 8.0 → https://mdb.link/5XhDQQcWQm4 ✅ Sign-up for a free cluster → https://mdb.link/5XhDQQcWQm4-try - Episode description: Join oman Right, the creator of the Beanie ODM, and Shubham Ranjan, Product Manager at MongoDB, as they discuss all things Beanie and Python! In this episode, we will explore how Beanie uses Pythons async capabilities to simplify MongoDB data modeling and querying. Roman and Shubham will walk through defining schemas, executing advanced queries and aggregations, and integrating Beanie into various Python frameworks. We'll wrap up with a LIVE Q&A, so come get your questions answered from the experts. - ✅ Beanie GitHub → https://github.com/BeanieODM/beanie ✅ Beanie Docs → https://beanie-odm.dev/ ✅ Build a Cocktail API with Beanie and MongoDB → https://mdb.link/5XhDQQcWQm4-read - oman Right LinkedIn: https://www.linkedin.com/in/roman-right/ Shubham Ranjan LinkedIn: https://www.linkedin.com/in/shran/All MongoDB Videos

Facebook Icontwitter iconlinkedin icon
Rate this video
star-empty
star-empty
star-empty
star-empty
star-empty
Related
Tutorial

Using OpenAI Latest Embeddings in a RAG System With MongoDB


Jul 01, 2024 | 15 min read
Tutorial

Build a Cocktail API with Beanie and MongoDB


Oct 01, 2024 | 6 min read
Tutorial

Subscribe to MongoDB Change Streams Via WebSockets


Sep 23, 2022 | 3 min read
Tutorial

Caching LLMs Response With MongoDB Atlas and Vector Search


Sep 02, 2024 | 8 min read