Resources
Choose from our extensive library of articles, tutorials, analyst reports, white papers, and more.
Top 4 Reasons to Use MongoDB 8.0
MongoDB 8.0 is now generally available, providing significant performance improvements, reduced scaling costs, and additional scalability, resilience, and data security capabilities.
![Top 4 Reasons to Use MongoDB 8.0](https://cdn.bfldr.com/2URK6TO/at/qhppp6kwg7s48jrwzp43bmh/Technical_ACTION_Rocket_Spot.png)
Innovate With AI: The Future Enterprise
Learn how industries are finding success with artificial intelligence and MongoDB Atlas.
AI Learning Hub
Explore self-paced tracks that include the technical content you need to build AI applications with MongoDB.
Atlas Vector Search Quick Start
Learn how to load vector embeddings, create an index and perform semantic search in just 15 minutes.
The Forrester Wave™: Translytical Data Platforms, Q4 2024
Learn how MongoDB excels at providing a developer-centric translytical data platform.
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EbookInnovate With AI: The Future EnterpriseExplore the top use cases across six core industries that are infused with MongoDB Atlas AI capabilities.View the ebook
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On-Demand VideoBuilding a Search Engine Powered By Semantic SearchExplore the process of integrating semantic search into your Java Spring Boot application.View the video
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DocumentationBuild Applications Using MongoDB’s AI IntegrationsLearn how to integrate Atlas Vector Search with our partner AI integrations.View the documentation
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DocumentationRAG with Atlas Vector SearchLearn how to implement retrieval-augmented-generation (RAG) in your generative AI applications.View the documentation
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TutorialHow to Choose the Right Chunking Strategy for Your LLM ApplicationExplore and evaluate different chunking strategies to choose the right one for a sample RAG application.View the tutorial
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TutorialRAG Series Part 1: How to Choose the Right Embedding Model for Your ApplicationDiscover why embeddings are important for RAG and how to choose the right embedding model.View the tutorial
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DocumentationImprove Vector Search PerformanceLearn how to improve vector search performance.View the documentation
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TutorialUsing OpenAI Latest Embeddings in a RAG System with MongoDBEnhance AI responses in NLP and GenAI with practical examples.View the tutorial
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University CourseUsing Atlas Vector Search for RAG ApplicationsLearn how to implement retrieval-augmented generation (RAG) with MongoDB.View the University Course
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DocumentationHow to Create Vector EmbeddingsLearn how to create vector embeddings for Atlas Vector Search.View the documentation
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DocumentationAtlas Vector Search OverviewDiscover how Atlas Vector Search powers semantic queries and AI apps.View the documentation
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On-Demand VideoBuilding RAG Applications with Atlas Vector Search and Amazon BedrockLeverage the power of Atlas Vector Search and Amazon Bedrock to create AI-powered apps.View the video
Resources for building AI-powered applications
Discover how to leverage MongoDB to streamline development for the next generation of AI-powered applications.
Additional Resources
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