Tutorials
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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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
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
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
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.Feb 11, 2025
Tutorial
Optimizing for Relevance Using MongoDB Atlas and LlamaIndex
In this tutorial, we will learn how to perform full-text, vector, and hybrid searches using MongoDB’s LlamaIndex integration and explore ways to tune them to optimize for relevance.Feb 11, 2025
Tutorial
Local-first and Reasoning-enhanced RAG With DeepSeek and MongoDB
Discover how DeepSeek’s innovative open-source models—DeepSeek-V3, DeepSeek Coder, and the groundbreaking reasoning model DeepSeek-R1—are revolutionizing local-first, retrieval-augmented generation (RAG) applications with MongoDB. This comprehensive guide details how cutting-edge chain-of-thought reasoning and model distillation techniques enhance AI performance and explainability. Learn how integrating tools like Ollama, Nomic-Text-Embed, LangChain, and Streamlit with MongoDB Atlas enables secure, scalable, and privacy-focused deployments ideal for industries such as healthcare and defense. Unlock advanced technical insights and step-by-step implementation strategies to build dynamic on-device AI applications that process and analyze sensitive documents with unparalleled accuracy and flexibility.Feb 06, 2025
Tutorial
DeepSeek and the Future of LLMs: Why MongoDB’s LLM-agnostic Approach Matters
Discover how DeepSeek-R1—a revolutionary open-source LLM trained with innovative reinforcement learning—challenges commercial giants like GPT-4, while MongoDB’s LLM-agnostic architecture powers a cost-efficient, real-time retrieval-augmented generation system. Learn about advanced reasoning, benchmark performance, and practical implementation steps that make this cutting-edge AI solution a game-changer in the evolving AI landscape.Feb 01, 2025