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Vector Search

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Leverage vector embeddings alongside operational data to build scalable semantic search experiences integrated within MongoDB Atlas.
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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....
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AIAtlasVector SearchPython

Feb 01, 2025 | 10 min read
Han Heloir (+1)
Tutorial

Boosting AI: Build Your Chatbot Over Your Data With MongoDB Atlas Vector Search and LangChain Templates Using the RAG Pattern

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Jan 29, 2025 | 7 min read
Video

Building a Semantic Search Application with MongoDB and Quarkus using Vector Search

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Jan 21, 2025 | 30 min
Vector Search Articles
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Using SuperDuperDB to Accelerate AI Development on MongoDB Atlas Vector Search

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Sep 18, 2024 | 6 min read
Article

Discover Latent Semantic Structure With Vector Clustering

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Oct 11, 2024 | 10 min read
Article

AI Shop: The Power of LangChain, OpenAI, and MongoDB Atlas Working Together

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Sep 18, 2024 | 7 min read
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Vector Search Tutorials
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Tutorial

DeepSeek and the Future of LLMs: Why MongoDB’s LLM-agnostic Approach Matters

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Feb 01, 2025 | 10 min read
Tutorial

Boosting AI: Build Your Chatbot Over Your Data With MongoDB Atlas Vector Search and LangChain Templates Using the RAG Pattern

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Jan 29, 2025 | 7 min read
Tutorial

How to Deploy Vector Search, Atlas Search, and Search Nodes With the Atlas Kubernetes Operator

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Dec 20, 2024 | 10 min read
Vector Search Videos
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Video

Building a Semantic Search Application with MongoDB and Quarkus using Vector Search

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Jan 21, 2025 | 30 min
Video

Transforming the Insurance Industry with MongoDB: Insights on AI and Data Modernization

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Dec 23, 2024 | 10 min
Video

What does Aperol Spritz have to do with MongoDB??

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Dec 12, 2024 | 1 min
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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.
MongoDB thumbnail image

Feb 01, 2025
Han Heloir (+1)
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.
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Jan 29, 2025
Arek Borucki
Video

Building a Semantic Search Application with MongoDB and Quarkus using Vector Search

✅ Try MongoDB 8.0 → https://mdb.link/91SzYGDmFoI ✅ Sign-up for a free cluster → https://mdb.link/91SzYGDmFoI-try ✅ Article link → https://mdb.link/91SzYGDmFoI-read - Discover how to harness the power of MongoDB's vector search capability to build a semantic search application using the Quarkus framework. In this comprehensive tutorial, we'll guide you step-by-step from understanding vector search fundamentals to implementing a functional Java application. Learn how to use Gemini AI for vector embeddings, create optimized queries, and set up your MongoDB Atlas cluster for seamless integration. Whether you're new to vector search or looking to enhance your generative AI applications, this video provides all the tools you need to get started. - 📚 Git repo: https://github.com/mongodb-developer/mongodb-vector-search-with-quarkus Resources: 📚 Vector Embeddings: https://mdb.link/91SzYGDmFoI-models 📚 Gemini AI: https://ai.google.dev/api?lang=python https://ai.google.dev/gemini-api/docs/api-key Similarity values: 📚 Euclidean: https://en.wikipedia.org/wiki/Euclidean_distance 📚 Cosine: https://en.wikipedia.org/wiki/Cosine_similarity 📚 Dot Product: https://en.wikipedia.org/wiki/Dot_product
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Jan 21, 2025
Video

Transforming the Insurance Industry with MongoDB: Insights on AI and Data Modernization

✅ Try MongoDB 8.0 → https://mdb.link/oqBsHREc9PM-8.0 ✅ Sign-up for a free cluster → https://mdb.link/oqBsHREc9PM-try - In this episode, we sit down with industry experts to discuss how MongoDB is revolutionizing the insurance sector through data modernization and AI integration. Discover how MongoDB's document model simplifies data processing, enhances developer productivity, and reduces friction in application development. Learn about the exciting advancements in vector search and unstructured data handling that are set to transform customer experiences in insurance. Whether you're in the industry or just curious about the future of data management, this episode is packed with valuable insights and practical applications.
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Dec 23, 2024
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.
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Dec 20, 2024
Rutuja Rajwade (+1)
Video

What does Aperol Spritz have to do with MongoDB??

Let's find the closest Aperol spritz to you with MongoDB geospatial queries and Atlas Vector Search.
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Dec 12, 2024
Video

Insights on Vector Search and Quantization for Developers and AI Enthusiasts

✅ Try MongoDB 8.0 → https://mdb.link/Nu70pFr88Cc-8.0 ✅ Sign-up for a free cluster → https://mdb.link/Nu70pFr88Cc-try - In this episode of the MongoDB Podcast, we dive deep into the exciting advancements in vector search technology. Join us as we discuss the recent launch of quantization capabilities and how they can significantly reduce costs while enhancing performance. Discover the implications for developers and customers alike, and learn about the future of AI integration within MongoDB. Whether you're a seasoned developer or just starting out, this episode is packed with valuable insights to help you leverage the benefits of vector search in your applications.
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Dec 02, 2024
Tutorial

How to Implement Working Memory in AI Agents and Agentic Systems for Real-time AI Applications

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Nov 18, 2024
Richmond Alake
Video

Trader Joe's Fall Faves Party Planner with Playwright, LlamaIndex, and MongoDB Atlas Vector Search

✅ LlamaIndex and MongoDB Atlas Vector Search Integration - https://mdb.link/H4NkAvksbR8-int ✅ Developer Forums - https://mdb.link/H4NkAvksbR8-forums - ​​In this tutorial, we create a Trader Joe’s AI party planner using Playwright to scrape our fall faves and the LlamaIndex/Atlas Vector Search integration to build a chatbot to answer questions about our items! - ✅ Playwright Documentation - https://playwright.dev/ ✅ Gen AI Showcase - https://github.com/mongodb-developer/GenAI-Showcase/blob/main/README.md
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Nov 12, 2024
Tutorial

Using Golang for AI

This article explains in full detail the implementation of the backend for the celebrity matching application from scratch written in Go. ✅ Sign-up for a free cluster at → https://mdb.link/free-biaEuu57mbs ✅ Get help on our Community Forums → https://mdb.link/community-biaEuu57mbs
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Nov 07, 2024
Jorge D. Ortiz-Fuentes