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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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Jan 12, 2024 | 10 min read
Prakul Agarwal
Article

Building a Flask and MongoDB App with Azure Container Apps

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Apr 02, 2024 | 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

Harnessing Natural Language for MongoDB Queries With Google Gemini

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Apr 23, 2024 | 7 min read
Article

8 Best Practices for Building FastAPI and MongoDB Applications

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Apr 23, 2024 | 8 min read
Article

Audio Find - Atlas Vector Search for Audio

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Mar 08, 2024 | 11 min read
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Python Quickstarts
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Quickstart

Quick Start 2: Vector Search With MongoDB and OpenAI

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May 06, 2024 | 12 min read
Quickstart

Single Click to Success: Deploying on Netlify, Vercel, Heroku, and Render with Atlas

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Apr 10, 2024 | 6 min read
Quickstart

Quick Start: Getting Started With MongoDB Atlas and Python

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Apr 10, 2024 | 4 min read
Python Code Examples
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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

RAG Series Part 2: How to Evaluate Your RAG Application

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May 13, 2024 | 20 min read
Tutorial

RAG with Atlas Vector Search, LangChain, and OpenAI

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May 09, 2024 | 10 min read
Tutorial

Enable Generative AI and Semantic Search Capabilities on Your Database With MongoDB Atlas and OpenAI

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Apr 25, 2024 | 8 min read
Python Videos
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Boosting AI: Build A Chatbot With Your Data | LangChain Templates Using the RAG Pattern

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Apr 26, 2024 | 11 min
Video

Going FARMing with Python & FastAPI!

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Mar 27, 2024 | 61 min
Video

Going Async with Python!

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Mar 27, 2024 | 60 min
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Tutorial

RAG Series Part 2: How to Evaluate Your RAG Application

In this tutorial, we will see how to evaluate LLM applications using the RAGAS framework, taking a RAG system as an example....
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May 13, 2024
Apoorva Joshi
Tutorial

RAG with Atlas Vector Search, LangChain, and OpenAI

Learn about Vector Search with MongoDB, LLMs, and OpenAI with the Python programming language....
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May 09, 2024
Harshad Dhavale
Quickstart

Quick Start 2: Vector Search With MongoDB and OpenAI

This quick start will guide you through how to perform vector search using MongoDB Atlas and OpenAI API. ...
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May 06, 2024
SM
Sujee Maniyam
Video

Boosting AI: Build A Chatbot With Your Data | LangChain Templates Using the RAG Pattern

✅ Find the written article here → https://mdb.link/article-9zyL1_8X8rQ ✅ Sign-up for a free cluster → https://mdb.link/free-9zyL1_8X8rQ ✅ Get help on our Community Forums → https://mdb.link/community-9zyL1_8X8rQ Discover how to enhance your AI chatbot using MongoDB Atlas Vector Search combined with LangChain Templates in our comprehensive tutorial. This video will guide you through the innovative process of integrating retrieval-augmented generation (RAG) pattern to improve your chatbot’s response accuracy and relevance. We'll walk you through the key technologies, including the use of MongoDB's Vector Search and the deployment of LangChain templates to seamlessly fuse external data with LLMs for more dynamic interactions. What You Will Learn: - How to use MongoDB Atlas Vector Search to pinpoint relevant data. - Setting up LangChain Templates for efficient AI integrations. - Step-by-step guide on deploying a chatbot using the RAG pattern. --- Subscribe to MongoDB YouTube→ https://mdb.link/subscribe...
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Apr 26, 2024
Tutorial

Enable Generative AI and Semantic Search Capabilities on Your Database With MongoDB Atlas and OpenAI

Learn how to enable Generative AI and Semantic Search capabilities on your database using MongoDB Atlas and OpenAI....
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Apr 25, 2024
Viraj Thakrar
Article

Harnessing Natural Language for MongoDB Queries With Google Gemini

By integrating MongoDB Atlas with Vertex AI Extensions, we offer a solution that enhances the accessibility and usability of the database....
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Apr 23, 2024
Venkatesh Shanbhag (+1)
Article

8 Best Practices for Building FastAPI and MongoDB Applications

FastAPI seamlessly integrates with MongoDB through the Motor library, enabling asynchronous database interactions....
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Apr 23, 2024
Mark Smith
Tutorial

Building an AI Agent With Memory Using MongoDB, Fireworks AI, and LangChain

Creating your own AI agent equipped with a sophisticated memory system. This guide provides a detailed walkthrough on leveraging the capabilities of Fireworks AI, MongoDB, and LangChain to construct an AI agent that not only responds intelligently but also remembers past interactions....
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Apr 23, 2024
Richmond Alake
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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Apr 15, 2024
Apoorva Joshi
Tutorial

Leveraging MongoDB Atlas Vector Search with LangChain

Discover the integration of MongoDB Atlas Vector Search with LangChain, explored in Python in this insightful article. It highlights how advanced semantic search capabilities and high-dimensional embeddings revolutionize data retrieval. Understand the use of MongoDB Atlas' $vectorSearch operator and how Python enhances the functionality of LangChain in building AI-driven applications. This guide offers a comprehensive overview for harnessing these cutting-edge tools in data analysis and AI-driven search processes....
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Apr 10, 2024
Arek Borucki