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Depth-first Hybrid Search for GraphRAG
This article compares five retrieval strategies namely pre-filtering, vector search, full-text search, hybrid search, and graph-based retrieval for RAG.
Feb 02, 2025 | 14 min read
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Article
Depth-first Hybrid Search for GraphRAG
This article compares five retrieval strategies namely pre-filtering, vector search, full-text search, hybrid search, and graph-based retrieval for RAG.Feb 02, 2025
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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
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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
Tutorial
How To Build a Fraud Detection Model in Java Using Deeplearning4J
Learn how to combine neural networks and scalable data management to build a real-world fraud detection system in Java! This tutorial uses Deeplearning4J to train a neural network and MongoDB for efficient transaction data management. Follow along as we preprocess customer transaction data, train a model to spot fraud, and integrate MongoDB for scalability. Perfect for Java developers looking to dive into AI and build production-ready solutions.
Jan 27, 2025
Video
What is an Embedding? | MongoDB #ai #embeddingmodel
Why do so many people suddenly care about embeddings, a concept that has existed since the 1950s? Let's talk about what embeddings are and how embedding models work. Learn more on Developer Center: https://mdb.link/embedding-modelJan 23, 2025
Tutorial
Building a Dynamic Pricing Microservice with Vertex AI and MongoDB Atlas
Utilizing MongoDB Atlas for efficient data storage and Google Cloud Platform for complex calculations and hosting, businesses can implement real-time pricing adjustments based on customer behavior and competitor data.
Jan 22, 2025
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Video
Using AI to increase customer lifetime value
✅ Try MongoDB 8.0 → https://mdb.link/_s-55j3C4n4 ✅ Sign-up for a free cluster → https://mdb.link/_s-55j3C4n4-try ✅ Subscribe to MongoDB YouTube → https://mdb.link/subscribe - Your customers are making the extraordinary investment of calling or chatting with your business. We will show you how Agmeta and MongoDB help you find the customer centric CSAT for 100% of interactions without any surveys. Then we leverage other customer data to show which customers are at risk of churn, and where you can upsell; all of this is in an easy to consume, timely and very actionable way.Jan 16, 2025
Tutorial
Building an AI Agent With Semantic Kernel, C#, OpenAI, and MongoDB Atlas
Learn how to easily create an AI agent application using MongoDB Atlas, Microsoft’s Semantic Kernel, C#, and OpenAI with Developer Advocate Luce Carter.
Jan 14, 2025
