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Tutorial
How to Deploy Vector Search, Atlas Search, and Search Nodes With the Atlas Kubernetes Operator
Learn how to deploy MongoDB Atlas Vector Search, Atlas Search, and Search Nodes using the Atlas Kubernetes Operator. This tutorial covers step-by-step instructions to integrate advanced search capabilities into Kubernetes clusters, enabling scalable, high-performance workloads with MongoDB Atlas.
Mar 14, 2025
Tutorial
Sentiment Chef Agent App with Google Cloud and MongoDB Atlas
In the competitive customer service industry, extracting meaningful insights from customer reviews is challenging. Our team developed Sentiment Chef, an intelligent restaurant agent that goes beyond basic review analysis by leveraging Google Cloud and MongoDB Atlas. This smart platform interprets sentiments from text, images, and videos, providing comprehensive feedback summaries. Designed specifically for the restaurant industry, Sentiment Chef transforms multimodal review data into actionable insights, helping restaurant owners make informed decisions based on customer feedback.
Mar 14, 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
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
Tutorial
Boosting AI: Build Your Chatbot Over Your Data With MongoDB Atlas Vector Search and LangChain Templates Using the RAG Pattern
Learn how to enhance your AI chatbot's accuracy with MongoDB Atlas Vector Search and LangChain Templates using the RAG pattern in our guide.
Jan 29, 2025
Tutorial
Terraforming AI Workflows: RAG With MongoDB Atlas and Spring AI
Learn how to automate infrastructure management with HashiCorp Terraform and MongoDB Atlas. This tutorial covers setting up clusters, vector search, and building a Spring Boot RAG app with OpenAI embeddings for intelligent data retrieval and scalable cloud integration.
Jan 29, 2025