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Tutorial
How to Improve LLM Applications With Parent Document Retrieval Using MongoDB and LangChain
In this tutorial, you will learn about a technique called parent document retrieval and implement it in RAG and Agentic workflows using MongoDB’s LangChain integration.May 29, 2025
Video
Experience the Beanie ODM: Build Robust Data Models in Python
✅ 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/May 12, 2025
Tutorial
How to Use Cohere Embeddings and Rerank Modules With MongoDB Atlas
To avoid issues in leveraging AI search functionality or machine learning in your application, Cohere and MongoDB offer fully managed solutions.Mar 13, 2025
Quickstart
Building AI and RAG Apps With MongoDB, Anyscale and PyMongo
This tutorial guides you through integrating MongoDB Atlas with Anyscale and PyMongo to build scalable AI-powered retrieval-augmented generation (RAG) services. Learn how to deploy self-hosted models, set up a vector store, and connect your services to efficiently process and analyze large datasets using Ray's distributed computing capabilities.Mar 13, 2025
Tutorial
Building a Real-Time, Dynamic Seller Dashboard on MongoDB
In this article, we look at how a single query on MongoDB can power a real-time view of top-selling products, and deep-dive into the top-selling regions.
Mar 13, 2025
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Tutorial
Enhancing LLM Accuracy Using MongoDB Vector Search and Unstructured.io Metadata
This article provides a comprehensive guide on improving the precision of large language models using MongoDB's Vector Search and Unstructured.io's metadata extraction techniques, aiming to equip readers with the tools to produce well-sourced and contextually accurate AI outputs.
Mar 12, 2025
Tutorial
How to Seamlessly Use MongoDB Atlas and IBM watsonx.ai LLMs in Your GenAI Applications
Learn how to build a RAG framework using MongoDB Atlas Vector Search and IBM watsonx LLMs.Mar 12, 2025
Tutorial
Building Generative AI Applications Using MongoDB: Harnessing the Power of Atlas Vector Search and Open Source Models
Learn how to build generative AI (GenAI) applications by harnessing the power of MongoDB Atlas and Vector Search.Mar 12, 2025
Video
Django MongoDB Backend Quickstart! A Step-by-Step Tutorial
Read the written version of this tutorial: https://dev.to/mongodb/django-mongodb-backend-quickstart-4o89 Django MongoDB Backend Repo: https://github.com/mongodb-labs/django-mongodb-backend Learn more in MongoDB Docs: https://mdb.link/laXann1O0cg-docs Let us know your thoughts in our MongoDB Developer Forum: https://mdb.link/laXann1O0cg-forum In this quick start get up and running with the new Django MongoDB Backend Python library: now in Public Preview! In this quick start you will create a Django application, connect your Django application to a MongoDB deployment, ensure your deployment is hosted on MongoDB Atlas, interact with the data stored inside your cluster, and create a Django admin page. Visit Mongodb.com → https://www.mongodb.com Read the MongoDB Blog → https://www.mongodb.com/blog Check out the MongoDB Developer Center → https://www.mongodb.com/developerMar 10, 2025