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A high-level, interpreted programming language and it is used for general purpose. Python is one of the most popular languages for data-intensive tasks and data science because of its rich library support for statistics, machine learning, and AI-related tasks.- Latest
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How to Build an App with Semantic Search: Django, MongoDB Atlas & Voyage AI Tutorial
Read the written tutorial: https://dev.to/mongodb/grab-a-pint-with-django-mongodb-backend-voyage-ai-and-langchain-170n Watch the Django MongoDB Backend Quickstart tutorial: https://youtu.be/laXann1O0cg Sign-up for a free cluster → https://mdb.link/5s5ngllTB8E-register Access the Kaggle dataset here: https://www.kaggle.com/datasets/anaiya/guinnesswinebarsdublin Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Looking for the best places to grab a drink in Dublin? Stop searching and start building! With the power of the Django-MongoDB-Backend Python package and AI, you can find the exact drink you're looking for. Build your own intelligent Dublin pub finder! This tutorial shows you how to combine Django, MongoDB, Voyage AI, and LangChain to create an AI-powered app with semantic search. Learn to set up your backend, embed data, and implement smart search functionality to help anyone discover the perfect pub in Dublin. Dive into the exciting world where Python, databases, and AI converge! Chapters: 0:00 Introduction to the Dublin Pub Finder 0:28 What is Django MongoDB Backend? 1:07 Understanding LangChain & MongoDB Integration 1:58 Why Voyage AI for Embeddings? 2:30 Project Prerequisites 3:25 Demo: Our Intelligent Pub Finder in Action 4:18 Data Collection & Preparation (Google Places API) 5:39 Setting up Django MongoDB Backend 7:24 Defining Django Models (models.py) 8:55 Generating Embeddings with Voyage AI 10:19 Importing Data to MongoDB Atlas 11:46 Creating Your Atlas Vector Search Index 13:10 Integrating LangChain for Semantic Search 14:48 Building the Django Application (views.py & URLs) 16:00 Crafting the User Interface (HTML/CSS) 17:15 Running the Application 17:35 Conclusion & Key Takeaways This video is not affiliated with, endorsed by, or sponsored by Python. The use of any trademark is solely for informational and identification purposes, so that we may provide clear and accurate descriptions. All opinions and critiques provided in this video are those of the creator and do not reflect the views of Python or its affiliates. Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog
Jun 23, 2025
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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
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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/developer
Mar 10, 2025
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Meet the Makers Behind Django MongoDB Backend
Join this livestream to hear directly from the lead engineer Jib Adegunloye, and lead product manager Shubham Ranjan, as they dive into their newly released Django MongoDB Backend library, now in public preview! Get insights straight from the creators, learn how it works, and ask your questions live. - Quickstart on dev.to → https://mdb.link/aKuvHXrvYKU-devto Docs → https://mdb.link/aKuvHXrvYKU-docs GitHub repo → https://mdb.link/aKuvHXrvYKU-repo Developer Forum → https://mdb.link/aKuvHXrvYKU-forum
Feb 10, 2025
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Improve Your LLM Applications Using Parent Document Retrieval
✅ Try MongoDB 8.0 → https://mdb.link/v=-fcuS0rk1KY ✅ Sign-up for a free cluster → https://mdb.link/v=-fcuS0rk1KY-free ✅ Written version → https://mdb.link/v=-fcuS0rk1KY-written - In this livestream, you will learn about an advanced retrieval technique called parent document retrieval. We will look at use cases where this technique is useful and how it works, followed by a live code walkthrough of how to implement it in RAG and agentic applications.
Jan 16, 2025
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Building a Test Framework with MongoDB
Try MongoDB 8.0 → https://mdb.link/Bz7qAxMXKo4 Sign-up for a free cluster → https://mdb.link/Bz7qAxMXKo4-8.0 Subscribe to MongoDB YouTube→ https://mdb.link/subscribe 🎥 Dive into the world of MongoDB testing with Pytest! In this tutorial, Developer Advocate Mark Smith shows you how to leverage Pytest fixtures for running tests on your MongoDB cluster with ease and efficiency. 🔍 What You’ll Learn: How to create and use Pytest fixtures to manage MongoDB client sessions How to write integration tests using transactions in MongoDB to ensure that your database states are clean post-testing The importance of a data access layer (DAL) when interfacing with your MongoDB database Efficiently testing CRUD operations with a fun Pirates theme! 🛠 Key Features: Setting up your MongoDB client and handling session scope Using transactions to allow changes to your database that automatically rollback after tests Understanding the power of fixtures over simple utility functions Whether you're developing apps or looking to write robust tests for your MongoDB data interactions, this video is packed with essential techniques to enhance your workflow and ensure optimal data integrity. 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/developer
Jan 14, 2025
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Sip, Swig, and Search with Playwright, OpenAI and MongoDB Atlas Search
✅ Atlas Search → https://mdb.link/DzDnm_cB-IAsearch ✅ Playwright → https://playwright.dev/ ✅ OpenAI's Structured Outputs → https://openai.com/index/introducing-structured-outputs-in-the-api/ ✅ MongoDB Developer Forum → https://mdb.link/DzDnm_cB-IA-forum - Join Developer Advocate Anaiya Raisinghani as she takes you through her tutorial finding the best fall drinks from Utah's most famous "dirty" soda chain, Swig! We will be using Playwright, OpenAI's Structured Outputs and MongoDB's Atlas Search to accomplish this goal.
Oct 28, 2024
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An Interview With Beanie's Roman Right
✅ Create your free Atlas cluster - https://mdb.link/DCOloE011l4-free ✅ Roman's Champion Page - https://mdb.link/DCOloE011l4-page ✅ A Cocktail App with Beanie - https://mdb.link/DCOloE011l4-beanie - Roman Right is a MongoDB Champion, and the author of the Beanie Object-Document Mapping library for Python, and its synchronous sibling, Bunnet. Mark Smith and Roman will have a chat about what it takes to be a MongoDB Champion, the fun of building dynamic libraries like Beanie, and we'll take a dive into what it looks like when building an application with Beanie
Sep 05, 2024
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Building AI Services with FastAPI & Bedrock
✅ MongoDB Atlas account → https://mdb.link/KL8CAm6Eoks-register ✅ Get help on our Community Forums → https://mdb.link/KL8CAm6Eoks-forums ✅ Writen article → https://mdb.link/KL8CAm6Eoks-article - We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications.
Aug 15, 2024
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Using Atlas Vector Search and PyMongoArrow to Semantically Search Through Luxury Fashion Items
In this video Associate Developer Advocate, Anaiya Raisinghani, will take you through how to use the PyMongoArrow library and MongoDB Atlas Vector Search to semantically search through luxury fashion items. The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate ✅ A MongoDB Atlas account → https://www.mongodb.com/cloud/atlas/register ✅ MongoDB Atlas cluster → https://www.mongodb.com/resources/products/fundamentals/clusters ✅ Dataset from Kaggle → https://www.kaggle.com/datasets/justinpakzad/net-a-portermr-porter-fashion-dataset?select=net-a-porter.csv ✅ OpenAI API key → https://help.openai.com/en/articles/4936850-where-do-i-find-my-openai-api-key
Jul 15, 2024