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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.

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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....
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AISearchPythonAtlas

Jan 12, 2024 | 10 min read
Prakul Agarwal
Article

Building a Flask and MongoDB App with Azure Container Apps

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Jun 20, 2023 | 8 min read
Video

Build an AWS Lambda Serverless function with PyMongo & MongoDB

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Sep 25, 2023 | 20 min
Python Articles
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Article

Audio Find - Atlas Vector Search for Audio

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Mar 08, 2024 | 11 min read
Article

Using SuperDuperDB to Accelerate AI Development on MongoDB Atlas Vector Search

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Feb 21, 2024 | 6 min read
Article

Building a Flask and MongoDB App with Azure Container Apps

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Jun 20, 2023 | 8 min read
All Python Articles
Python Quickstarts
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Quickstart

Getting Started with MongoDB and Starlette

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Sep 23, 2022 | 5 min read
Quickstart

Getting Started with MongoDB and Sanic

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Sep 23, 2022 | 5 min read
Quickstart

Getting Started with MongoDB and FastAPI

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Mar 11, 2024 | 7 min read
Python Code Examples
All Python Code Examples
Code Example

A Spotify Song and Playlist Recommendation Engine

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Nov 13, 2023 | 6 min read
Code Example

Example Application for Dog Care Providers (DCP)

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Oct 13, 2023 | 3 min read
Code Example

GroupUs

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Jul 07, 2022 | 1 min read
Python Tutorials
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Tutorial

Building a RAG System With Google's Gemma, Hugging Face and MongoDB

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Mar 21, 2024 | 12 min read
Tutorial

Adding Semantic Caching and Memory to Your RAG Application Using MongoDB and LangChain

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Mar 20, 2024 | 16 min read
Tutorial

RAG Series Part 1: How to Choose the Right Embedding Model for Your Application

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Mar 19, 2024 | 16 min read
Python Videos
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Video

Going FARMing with Python & FastAPI!

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Mar 27, 2024
Video

Going Async with Python!

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Mar 27, 2024
Video

Exploring the Edge of AI: MongoDB's New Frontier with Patronus.ai

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Mar 21, 2024
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Video

Going FARMing with Python & FastAPI!

✅ Sign-up for a free cluster at → https://mdb.link/65jdbqw8XHE-register ✅ Get help on our Community Forums → https://mdb.link/65jdbqw8XHE-forums - Every week you can watch Mark as he builds out a Data Access Layer in Python. The experimental docbridge library is an attempt to build a Pythonic framework that takes into account the various patterns that are used when designing document models with MongoDB. There are quite a few features in the docbridge library now! Let's build something with it, demonstrating some of the data modeling patterns it helps to abstract, and we can talk about how well it works with FastAPI and maybe some changes to make it even better. 📚 RESOURCES 📚 Six Principles of Resilient Evolvability → https://mdb.link/65jdbqw8XHE-blog Building with Patterns → https://mdb.link/65jdbqw8XHE-patterns Docbridge GitHub Repo → https://github.com/mongodb-developer/docbridge 💬 Connect with Mark: LinkedIn: https://www.linkedin.com/in/judy2k/ ------ ✅ Subscribe to our channel → https://mdb.link/subscribe...
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Mar 27, 2024
Video

Going Async with Python!

✅ Sign-up for a free cluster at - https://mdb.link/0_mMQrP9RCM-register ✅ Get help on our Community Forums - https://mdb.link/0_mMQrP9RCM-community - Every week you can watch Mark as he builds out a Data Access Layer in Python. The experimental docbridge library is an attempt to build a Pythonic framework that takes into account the various patterns that are used when designing document models with MongoDB. Docbridge was built using PyMongo, but now I want to use it with FastAPI, so it needs to be ported or adapted to work as an async library. We'll go deep into the complexities of async libraries and generators, and talk about good practices for updating the data in your MongoDB database. - 📚 RESOURCES 📚 ✅ Six Principles of Resilient Evolvability - https://mdb.link/0_mMQrP9RCM-principles ✅ Building with Patterns - https://mdb.link/0_mMQrP9RCM-summary ✅ Docbridge GitHub Repo - https://github.com/mongodb-developer/docbridge ------ Connect with Mark: LinkedIn: https://www.linkedin.com/in/judy2k/ ✅ Subscribe to our channel - https://mdb.link/subscribe...
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Mar 27, 2024
Video

Exploring the Edge of AI: MongoDB's New Frontier with Patronus.ai

✅ MongoDB and Patronus Blog Article - https://mdb.link/F6PeGjFztSQ-article ✅ Get help on our Community Forums - https://mdb.link/F6PeGjFztSQ-forums ✅ Register to MongoDB Atlas - https://mdb.link/F6PeGjFztSQ-register - Join us on this exciting episode of the MongoDB Podcast Live as we delve into the groundbreaking partnership between MongoDB and Patronus AI. We're honored to have Anand Kannappan, the innovative mind behind Patronus AI, to discuss how this collaboration is pushing the boundaries of AI technology. Discover how Patronus AI's unique features, like Evaluation Runs, Adversarial Testing Sets, and Benchmarking, are setting new standards in AI model performance. Anand will also shed light on the cutting-edge Retrieval-augmented Generation Analysis and how it ensures reliability in AI-driven solutions. Whether you're an AI enthusiast, a developer, or just curious about the future of technology, this episode offers a deep dive into the intersection of AI and database technology, highlighting how MongoDB's versatile platform is playing a crucial role in shaping the AI landscape. - ✅ Patronus AI website: https://www.patronus.ai/ ✅ Patronus AI/MongoDB Atlas Integration: https://www.patronus.ai/blog/the-10-minute-guide-to-reliable-rag-systems-using-patronus-ai-mongodb-atlas-and-llamaindex...
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Mar 21, 2024
Tutorial

Building a RAG System With Google's Gemma, Hugging Face and MongoDB

This article presents how to leverage Gemma as the foundation model in a Retrieval-Augmented Generation (RAG) pipeline or system, with supporting models provided by Hugging Face, a repository for open-source models, datasets and compute resources....
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Mar 21, 2024
Richmond Alake
Tutorial

Adding Semantic Caching and Memory to Your RAG Application Using MongoDB and LangChain

This guide outlines how to enhance Retrieval-Augmented Generation (RAG) applications with semantic caching and memory using MongoDB and LangChain. It explains integrating semantic caching to improve response efficiency and relevance by storing query results based on semantics. Additionally, it describes adding memory for maintaining conversation history, enabling context-aware interactions. The tutorial includes steps for setting up MongoDB, implementing semantic caching, and incorporating these features into RAG applications with LangChain, leading to improved response times and enriched user interactions through efficient data retrieval and personalized experiences....
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Mar 20, 2024
Richmond Alake (+1)
Tutorial

RAG Series Part 1: How to Choose the Right Embedding Model for Your Application

In this tutorial, we will see why embeddings are important for RAG, and how to choose the right embedding model for your RAG application....
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Mar 19, 2024
Apoorva Joshi
Tutorial

Coding With Mark: Abstracting Joins & Subsets in Python

Learn how to use advanced Python to abstract subsets and joins in MongoDB data models....
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Mar 19, 2024
Mark Smith
Video

Python Chat with Anaiya Raisinghani

Anaiya Raisinghani is a Developer Advocate at MongoDB, and she's been building some awesome things with Python and a cool serverless platform called Neurelo. We're going to have a wide-ranging chat about what she knows and loves about MongoDB and the kinds of things she likes to build. There's going to be some demos and Python code walkthroughs. It's going to be a whole load of fun. - Check out Anaiya's articles on Neurelo: Neurelo and MongoDB: Getting Started and Fun Extras - https://mdb.link/vtEtu9-v5ZM-getting-started Building a Restaurant Locator Using Atlas, Neurelo, and AWS Lambda - https://mdb.link/vtEtu9-v5ZM-neurelo-AWS...
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Mar 15, 2024
Quickstart

Getting Started with MongoDB and FastAPI

Getting started with MongoDB and FastAPI...
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Mar 11, 2024
Aaron Bassett (+1)
Video

Code With Mark: Let's go FARMing!

✅ Sign-up for a free cluster at → https://mdb.link/_hmOnVurboQ-register ✅ Get help on our Community Forums → https://mdb.link/_hmOnVurboQ-forums - Every week you can watch Mark as he builds out a Data Access Layer in Python. This library, called docbridge, is an attempt to build a Pythonic framework that takes into account the various patterns that are used when designing document models with MongoDB. FastAPI is becoming a go-to framework for Python developers building APIs and applications with MongoDB. I've built a blocking data access library, but FastAPI is built on asyncio! That means that the code needs to be rewritten to work as both blocking and async. Let's go deep under the covers of coroutines and asynchronous iterators, and find out what's going on! - RESOURCES ✅ Full Stack FastAPI App Generator → https://mdb.link/_hmOnVurboQ-generator ✅ The Six Principles for Building Flexible Data Applications → https://mdb.link/_hmOnVurboQ-principles ✅ Building with Patterns → https://mdb.link/_hmOnVurboQ-patterns ✅ Docbridge GitHub Repo → https://mdb.link/_hmOnVurboQ-docbridge Connect with Mark: LinkedIn: https://www.linkedin.com/in/judy2k/ ------ ✅ Subscribe to our channel → https://mdb.link/subscribe...
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Mar 08, 2024