📊 Optimizing AI Performance: The Power of Data Chunking + Document Databases Managing large datasets efficiently is crucial for AI applications - but how do you balance performance with scalability? Discover how document databases like MongoDB enhance data chunking workflows through: ✨ Flexible schema design ✨ Dedicated search nodes ✨ Advanced vector search capabilities ✨ Optimized query performance at scale Ready to boost your AI efficiency? Dive into the full article via The New Stack: https://lnkd.in/gKztV7CS Apoorva Joshi Jourdain Patrick
MongoDB
Software Development
New York, NY 808,287 followers
A developer data platform for developers to do their best work. #LoveYourDevelopers
About us
Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit mongodb.com.
- Website
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http://www.mongodb.com
External link for MongoDB
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- New York, NY
- Type
- Public Company
- Founded
- 2007
- Specialties
- open source, databases, mongodb, and software developer
Products
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MongoDB
NoSQL Database Software
MongoDB’s developer data platform integrates all of the data services you need to build modern applications in a unified developer experience. It handles transactional workloads, app-driven analytics, full-text search, AI-enhanced experiences, stream data processing, and more, all while reducing data infrastructure sprawl and complexity.
Locations
Employees at MongoDB
Updates
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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! - ✅ LlamaIndex and MongoDB Atlas Vector Search Integration: https://lnkd.in/drN8bedC ✅ Developer Forums: https://lnkd.in/d9jcsbad - ✅ Playwright Documentation: https://playwright.dev/ ✅ Gen AI Showcase: https://lnkd.in/dt7bQeBQ
Trader Joe's Fall Faves Party Planner - Playwright + LlamaIndex + MongoDB
www.linkedin.com
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🤩 Did you hear? MongoDB Atlas is now seamlessly integrated with Microsoft Azure OpenAI Service! 💡 This collaboration allows businesses to build powerful genAI apps grounded in enterprise data. With Retrieval Augmented Generation (RAG), your AI can now provide precise, contextual answers using your own data stored in MongoDB Atlas. Ready to see it in action? Explore the future of AI-driven insights! 👉 https://lnkd.in/gqvWgW8E
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Want AI-powered apps without bolt-on vector databases? See how Okta simplified their stack using MongoDB's vector search to enhance their identity platform while cutting infrastructure costs. https://lnkd.in/gR-wHy4G
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MongoDB reposted this
Excited to share my latest Forbes article, where I dive into the critical role that a modern operational data layer plays in unlocking innovation. Think of it this way: operational data is software’s heartbeat. It powers the applications we rely on daily and fuels the insights that help us navigate an ever-changing world. Still, so much critical operational data is locked up in silos or stuck in brittle systems that results in wasted resources, missed insights, lack of situational readiness for incidents, and an inability to adapt to market shifts. It’s buried gold at best, and a liability at worst. A modern operational data layer is the key to making this “dark data” available to organizations and paving a valuable (dare I say “golden”!) pathway to smarter, safer, and more adaptable digital services. And in the AI era, this data opportunity is only growing. Give it a read—and let me know what you think! https://lnkd.in/e2-VnGeQ
Council Post: Operational Data Powers The Digital Economy
social-www.forbes.com
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In this episode we will explore how easy it is to develop personalized content experiences, as well as a hybrid search function -- full-text and semantic -- just using MongoDB and its new Vector Search capabilities together with LangChain, a powerful developer toolkit that has full support for MongoDB. Furthermore, we'll discuss how to annotate, rewrite, and even combine news articles, opening up a large set of possibilities on how to further monetize existing content assets. - ✅ Try MongoDB 8.0 → https://lnkd.in/dk9kjPyN ✅ Sign-up for a free cluster → https://lnkd.in/gW8cymBx ✅ Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
GenAI and MongoDB - the Dreamteam for Media Management
www.linkedin.com
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This just in from #MSIgnite: MongoDB Enterprise Advanced is now available on the Microsoft Azure Marketplace, empowering organizations to: ✅ Deploy MongoDB clusters across any environment ✅ Leverage the resilience of Kubernetes ✅ Centrally manage all your clusters with Azure Arc ✅ Seamlessly scale and distribute data geographically Build robust, cloud-ready apps - no matter where your clusters live. https://lnkd.in/gwwer9fw
3 Ways MongoDB EA Azure Arc Certification Serves Customers | MongoDB Blog
mongodb.com
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Your mental health is just as important as your physical health. Mindful at MongoDB unites our Mental Health First Aiders and our greater employee community in a shared purpose of cultivating a safe place for discussing mental wellbeing. Through peer support, resource sharing, programming, and empathetic and empowering conversations, Mindful is creating a community where employees feel supported in prioritizing their mental health. ✨ Some of their recent initiatives have encouraged employees to take a step back and be more mindful during the workday. From beading workshops to diya painting, MongoDB employees around the globe have flexed their creativity and focused on being present! Learn more about #LifeAtMongoDB by joining our talent community 👉 https://lnkd.in/gwEBRSn6
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📖 The definitive playbook for building next-gen AI-powered apps. Master large language models, vector databases, and Python to create powerful AI solutions. Learn proven patterns for building production-ready applications with modern AI tools. Grab your copy today: https://lnkd.in/dUYh3tVa Richmond Alake, Ashwin Gangadhar, Nick Larew, Rachelle Palmer, Ben Perlmutter, Shubham R., Thomas Rueckstiess, PhD, Henry Weller
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We’re thrilled to announce the public preview of MongoDB’s extension to GitHub Copilot in VS Code! In our latest blog, learn how you can: ✨ Generate MongoDB queries from plain language prompts 📖 Access MongoDB documentation 🔍 Explore collection schemas for seamless data modeling …all without leaving your favorite IDE. And this is just the beginning! Stay tuned for more exciting updates at #MSIgnite, where we’ll share how MongoDB and Microsoft are pushing the boundaries of AI-powered development. Read more about this exciting new integration in our latest blog: https://lnkd.in/gWT9Nzve Jad Jarouche
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