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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

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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AWSAIAtlasVector SearchGo

Nov 07, 2024 | 19 min read
Jorge D. Ortiz-Fuentes
Video

What is Vector Search and How Do Vector Databases Work?

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Nov 07, 2024 | 1 min
Video

Unlocking the Power of Vector Search: Transforming Data into Insights

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Nov 04, 2024 | 11 min
Vector Search Articles
All Vector Search Articles
Article

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
All Vector Search Tutorials
Tutorial

Using Golang for AI

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Nov 07, 2024 | 19 min read
Tutorial

Simplify Semantic Search With LangChain and MongoDB

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Oct 28, 2024 | 4 min read
Tutorial

Supercharge Your AI Applications: AWS Bedrock, MongoDB, and TypeScript

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Oct 10, 2024 | 9 min read
Vector Search Videos
All Vector Search Videos
Video

What is Vector Search and How Do Vector Databases Work?

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Nov 07, 2024 | 1 min
Video

Unlocking the Power of Vector Search: Transforming Data into Insights

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Nov 04, 2024 | 11 min
Video

Transforming Healthcare with MongoDB: An Interview with Tayfun Esenkaya from Accenture

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Nov 01, 2024 | 11 min
All Vector Search Content
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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
Video

What is Vector Search and How Do Vector Databases Work?

A vector database is a type of data storage solution that manages and searches large amounts of high-dimensional numerical data (also known as vectorised data). Learn more about vector search on Developer Center: https://mdb.link/guide-rag
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Nov 07, 2024
Video

Unlocking the Power of Vector Search: Transforming Data into Insights

✅ Try MongoDB 8.0 → https://mdb.link/MsbuUTw0ciI ✅ Sign-up for a free cluster → https://mdb.link/MsbuUTw0ciI-register ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - Join us for an engaging conversation about the transformative potential of vector search in data management! In this video, we delve into the innovative features of Superlinked, a platform that simplifies the integration of machine learning into various applications. Discover: The importance of vector search in utilizing unstructured data effectively. Practical applications in fields like e-commerce and finance. How the collaboration between Superlinked and MongoDB enhances data querying and personalized recommendations. Strategies for managing complex data without needing extensive machine learning expertise. We’ll explore the future of machine learning infrastructure and how you can leverage it for your projects.
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Nov 04, 2024
Video

Transforming Healthcare with MongoDB: An Interview with Tayfun Esenkaya from Accenture

✅ Try MongoDB 8.0 → https://mdb.link/nWM3R5vdhjE-8.0 ✅ Sign-up for a free cluster → https://mdb.link/nWM3R5vdhjE-register ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe - Join us for an insightful interview with Tayfun Esenkaya, an Enterprise Architect at Accenture, as he discusses how their innovative healthcare solutions leverage MongoDB. Learn about the Neuro Dynamics and Brain Gym projects, the challenges they faced, and how MongoDB's vector search is transforming their products. Whether you're a developer, a tech enthusiast, or someone interested in healthcare technology, this interview is packed with valuable insights.
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Nov 01, 2024
Tutorial

Simplify Semantic Search With LangChain and MongoDB

Dive into semantic search with our tutorial on integrating LangChain and MongoDB. Simplify loading, transforming, embedding, and storing data.
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Oct 28, 2024
Brian Leonard
Video

Revolutionizing Knowledge Management with MongoDB: An Interview with Saravana Kumar

✅ Try MongoDB 8.0 → https://mdb.link/9zDQ8U2eVkg-8.0 ✅ Sign-up for a free cluster → https://mdb.link/9zDQ8U2eVkg-register ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe -Join us for an insightful interview with Saravana Kumar, as he discusses how their platform leverages MongoDB to provide cutting-edge knowledge management solutions. Learn about the challenges they faced, the technology stack they use, and how MongoDB's vector search is transforming their product. Whether you're a developer, a tech enthusiast, or someone interested in knowledge management, this interview is packed with valuable insights.
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Oct 28, 2024
Video

Unveiling MongoDB 8.0: Performance, Scalability, and Security with Garaudy Etienne

✅ Sign-up for a free cluster → https://mdb.link/BEYfjhuVHlo-register ✅ Try MongoDB 8.0 → https://mdb.link/BEYfjhuVHlo-try - In this episode of the MongoDB Podcast, live from MongoDB .local London, we're joined by Garaudy Etienne, Director of Product Management at MongoDB, to dive deep into the exciting features and improvements of MongoDB 8.0. From performance boosts and workload resilience to enhanced scalability and security, Garaudy shares insights on how these innovations will make a significant impact on developers. Tune in to learn about the evolution of MongoDB, how feedback shapes the product, and what's next for this powerful developer data platform. Whether you're a seasoned developer or just starting with MongoDB, this episode will provide you with valuable insights and practical knowledge.
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Oct 16, 2024
Article

Discover Latent Semantic Structure With Vector Clustering

Leverage the mathematical properties of a population of db AI-embedded vectors to extract potential novel business intelligence.
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Oct 11, 2024
SK
Scott Kurowski
Tutorial

Supercharge Your AI Applications: AWS Bedrock, MongoDB, and TypeScript

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Oct 10, 2024
Pavel Duchovny
Tutorial

How to Use Cohere's Quantized Vectors to Build Cost-effective AI Apps With MongoDB

Learn how to build cost-effective AI apps using Cohere's quantized vectors and MongoDB Atlas. This tutorial covers vector quantization techniques, efficient embedding storage, and optimized vector search operations. Discover how to leverage BSON encoding and int8 quantization to significantly reduce storage requirements while maintaining search accuracy. Ideal for developers looking to scale their AI applications and optimize performance in production environments.
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Oct 03, 2024
Richmond Alake (+1)