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MongoDB

@MongoDB

/*Think outside rows and columns.*/

Katılım Aralık 2008
6.1K Takip Edilen503.1K Takipçiler
MongoDB
MongoDB@MongoDB·
Big news from Hong Kong! 🏆 MongoDB has been recognized as Partner of the Year – Technology at the @awscloud Partner Summit. A proud moment for our teams across APAC and a reminder of what's possible when great technology meets great partnerships.
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MongoDB@MongoDB·
Small changes can add up to big gains. MongoDB engineers contributed a pair of changes to Lucene that introduced bulk scoring, allowing CPUs to process multiple vectors at once and hide memory latency. The result? Nearly 2x speedups in microbenchmarks and ~10% better query performance in Lucene benchmarks. Take a look under the hood at how Atlas Vector Search keeps getting faster: mongodb.social/6019BDj4K5
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MongoDB@MongoDB·
Building in @cursor_ai with MongoDB? There’s a plugin for that. 🙌 The official MongoDB Cursor Plugin bundles the MongoDB MCP Server + pre-built agent skills for data modeling, query optimization, MongoDB Search, MongoDB Vector Search, and more. Install with /add-plugin mongodb, add your Atlas connection string, and start asking real questions about your data.
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MongoDB@MongoDB·
🎓 This graduation season, we're celebrating creative student projects built with MongoDB. From bold ideas to real-world applications, these spotlights showcase innovation through hands-on learning. Meet the graduates, builders, and future problem-solvers shaping what's next. 📚 mongodb.social/6013BDPH8z
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MongoDB@MongoDB·
Namma Bengaluru, here's your fuel for the 3 AM deployment. MongoDB.local is locked for 30 June. Get ready for hands-on workshops, real AI agent architecture blueprints, and live podcast sessions right from the tech capital of India. ☕ (And yes, the filter kaapi is on us). mongodb.social/6016BDOWJC
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MongoDB@MongoDB·
Most banks aren't failing at AI because of the model. They're failing because of the architecture around it. You can't build next-generation financial services on a fragmented, legacy foundation. To unlock true speed-to-market and real-time AI capabilities, banks need an architecture designed for constant change. We break down how a unified developer data platform eliminates data silos, cuts down technical debt, and supercharges performance. Learn more: mongodb.social/6014BDMcyq
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MongoDB@MongoDB·
Embeddings cast the wide net. The reranker picks the best fish. In 60 seconds, Frank Liu and Mikiko Bazeley show how AI agents find the right information, not just keyword matches.
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MongoDB@MongoDB·
Introducing the Industry Solutions blog channel! Whether you operate in Financial Services, Telecommunications, Retail, or Manufacturing, you can now explore specific use cases and data architectures to accelerate time-to-market and drive competitive advantage. Explore the channel and find insights tailored to your sector: mongodb.social/6016B84C5q
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MongoDB@MongoDB·
MongoDB is now available in the Grok Build Plugin Marketplace! You get: - Agent Skills for MongoDB workflows and best practices - MCP Server for real-time, context-aware guidance See it in action.👇
xAI@xai

The @MongoDB plugin is live in the Grok Build Plugin Marketplace. Explore data, optimize database performance, and build high performance vector search systems with a single prompt.

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MongoDB@MongoDB·
☁️ @imagineagi's @skygodkingdom and @neo_lky work with some of the world's biggest companies, and their edge comes down to one thing: knowing exactly who to reach and having the data infrastructure to act on it fast. Their relationship graph spans people, companies, and connections across multiple layers, and MongoDB handles all of it without the schema overhead that slows most teams down.
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MongoDB@MongoDB·
What shipped last month? "Between Two Leaves" is back with a very special MongoDB.local London edition. Thibaut Gourdel and Nic Raboy take you through MongoDB 8.3, automated vector embeddings, massive infrastructure updates, and even a live demo. Watch the full episode 👉 mongodb.social/6010B84A5i
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MongoDB@MongoDB·
Last year was packed. This year will be bigger. MongoDB.local Bengaluru returns on 30 June with hands-on workshops, AI insights, technical deep dives, and a community of builders shaping what's next. Don't just watch the recap. Be part of the next one. 💥👉 Use code MDBSocialBLR26 to request your spot. mongodb.social/6010B82N8o
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MongoDB@MongoDB·
⚡ In agentic workloads, performance gains compound. MongoDB 8.3 delivers up to 45% more reads, 35% more writes, 15% more ACID transactions — without changing a line of application code. Learn more from our Senior Director of Database Product Management, Osmar Olivo.
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MongoDB@MongoDB·
The software the world runs on has to be secure. MongoDB has joined Project Glasswing, @AnthropicAI's initiative to secure the world's most critical software for the AI era, working alongside organizations like Apple, Google, Microsoft, and NVIDIA to strengthen the security and resilience of the global software and critical infrastructure we all rely on everyday. Millions of applications, from the most security-conscious enterprises to cutting edge startups, run on MongoDB. Protecting our customers’ data is a responsibility we take very seriously.
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MongoDB@MongoDB·
Arek Borucki started with a MongoDB University course and ended up as an ML Engineer at @huggingface. 🧑‍💻 What he shared about scaling MongoDB in production applies to your stack right now.👇
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MongoDB@MongoDB·
Most agent failures are actually data failures. Teams keep tuning prompts, swapping models, and adding guardrails when the real issue is data that isn't retrieval ready, stale context, or workflows that can't maintain state. MongoDB Field CTO Pete Johnson breaks down the three layers where these systems actually fail: mongodb.social/6016B8WBro
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MongoDB@MongoDB·
"No matter what AI workload you run, you always need LLMs, a harness, and a data layer." That's MongoDB President and CEO @cj_mongodb on @Bloomberg Open Interest, making the case that the data layer is where agentic AI lives or dies, and that it has to scale as those workloads scale. MongoDB added 2,500 new customers last quarter, with frontier labs and AI-native companies like @ElevenLabs already building on MongoDB as their data layer. Watch the full conversation with Dani Burger → mongodb.social/6018B8lCkC
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MongoDB@MongoDB·
How long does it REALLY take to earn our new Gen AI Skill Badges? We put it to the test at MongoDB.local London. Can you beat her time? 👀 Start earning now: mongodb.social/6012B8b0be
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MongoDB@MongoDB·
“Lift and shift” isn’t modernization. Today’s applications need to be modular, AI-ready, and built for real-time decision-making. Legacy systems can’t keep up with the demands of always-on consumer experiences. Hear how organizations in APAC are modernizing faster, scaling in real time, and reducing the cost of maintaining legacy infrastructure in our newest report with @IDC: mongodb.social/6019B8bxb7
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