Hong Kong’s leading life insurance company's goal was clear: equip their insurance agents—known as ‘Life Planners’—with real-time data to provide personalized customer experiences! 💡 By modernizing legacy systems on MongoDB, CTF Life streamlined operations, improved customer engagement, and opened doors for data-driven insights. Read on to learn about how CTF Life is using MongoDB Atlas. https://lnkd.in/g_my4pXE
MongoDB
Software-Entwicklung
New York, NY 782,118 followers
A developer data platform for developers to do their best work. #LoveYourDevelopers
Über uns
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
- Industrie
- Software-Entwicklung
- Größe des Unternehmens
- 5,001-10,000 employees
- Hauptsitz
- New York, NY
- Typ
- Öffentliches Unternehmen
- Gegründet
- 2007
- Spezialitäten
- open source, databases, mongodb, and software developer
Produkte
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.
Standorte
Employees at MongoDB
Aktualisierungen
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And with that, the 2024 internship season comes to an end. Throughout the summer, MongoDB interns around the world participated in our Bloom for Interns wellness program. This program is designed to prioritize mental health and physical and emotional wellbeing, while immersing interns in our vibrant culture and the unique values of MongoDB! Take a peek at some of the hundreds of wellness activities (yes, we counted) our interns participated in this summer. ☀️ #LifeAtMongoDB #MongoDBInterns Keep an eye out for 2025 internships at MongoDB 👉 https://lnkd.in/gvB_VXak
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In this livestream, we will deep-dive into evaluating LLM applications. We will talk about the evaluation process and metrics, along with a code walkthrough of how to evaluate a RAG application using the RAGAS framework. - ✅ Link to this article → https://lnkd.in/dMBx2Npe ✅ Sign-up for a free cluster at → https://lnkd.in/djtjxX3q ✅ Get help on our Community Forums → https://lnkd.in/dSrviX6F
Evaluating your RAG Applications
www.linkedin.com
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MongoDB Podcast Episode with customer (Pankaj Prasad & Vijai Anand from Airwave) to discuss Airwave, how they are using MongoDB Atlas to support their RAG/AI chatbot application and why they decided to migrate to Atlas + replace their existing vector database. - Check out Atlas Vector Search - https://lnkd.in/eKSrm7yF
How to Choose the RIGHT Vector Database?!?
www.linkedin.com
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🎤 The lights go down. An audience filled with developers and customers shaking up their industries looks up at the stage. And then… …find out how this story ends in person at #MongoDBlocal Bengaluru. Join us on Tuesday, September 10, for a day filled with breakout sessions, customer stories, keynote addresses, consulting sessions, and more. https://lnkd.in/gBsF2JHw
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How we improved the presentation of async stack traces in MongoDB's Node.js driver for the low price of zero cost, and still passed the savings on to you! Alex Bevilacqua https://lnkd.in/gzEv3ETJ
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Sun’s out—Bun’s out. 😎 We’re talking about the new generation runtime, Bun! Which is designed for running JavaScript or TypeScript on a server at speed. In this video short, we'll show you how to use Bun to write a simple CRUD API that reads and writes to a MongoDB collection. (What did you think we were talking about?) Jesse Hall
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You shouldn’t leave anything to chance when it comes to protecting yourself against fraud. With MongoDB, you don’t have to take that risk. Reduce your odds of falling prey to fraud by: 💡 Using ML-powered detection models and AI algorithms to recognize complex fraud patterns when you take advantage of machine learning 💡 Taking advantage of MongoDB’s real-time fraud prevention and database monitoring 💡 Monitoring data trends and incorporating user behavior analytics (UBA) to stay on top of discrepancies. Learn more about how MongoDB can help future-proof your business against the increase in fraud cases: https://lnkd.in/dEc6csVp
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We'll go through a FARM (FastAPI, React & MongoDB) stack application that I built that does multi-modal search to find images using MongoDB's vector search indexes. I'll talk about some of the tricky things in the implementation, and how to work with Bedrock from asyncio applications. - ✅ MongoDB Atlas account → https://lnkd.in/grqBqPwq ✅ Get help on our Community Forums → https://lnkd.in/gv2YNfkb ✅ Writen article → https://lnkd.in/gdKU6tRW
Building AI Services with FastAPI & Bedrock
www.linkedin.com
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