MongoDB is the intelligent data platform for the AI era.
Joined December 2008
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MongoDB retweeted
Voyage AI by @MongoDB’s Rerank 3 series is now available on @vercel AI Gateway.
Why use a reranker? Search finds candidates. Rerankers bring the most relevant context to the top for your agents. Better context, better answers.
🎯 rerank-3: optimized for retrieval accuracy when precision matters.
⚡ rerank-3-lite: optimized for latency and cost when speed is most important.
Learn more at mongodb.social/6011BG7TRB
MongoDB retweeted
📢 Introducing rerank-3 and rerank-3-lite, the next generation of Voyage rerankers.
A drop-in upgrade to the Rerank 2.5 series models, with focused improvements on long document and code retrieval.
📈 On standard retrieval, rerank-3 outperforms Cohere Rerank v4.0 Pro by 2.72% and Qwen3-Reranker-8B by 3.02%.
📚 On long document retrieval, rerank-3 outperforms rerank-2.5 by 3.35% and Cohere Rerank v4.0 Pro by 13.84%.
💰 rerank-3-lite now matches the retrieval quality of rerank-2.5 at 40% of the price.
Try it today. The first 200M tokens are free. mongodb.social/6016BGsoXp
MongoDB retweeted
Builders need an ecosystem of tools, models, frameworks, and services that can move AI from prompt to production in the real world, faster. MongoDB is proud to provide the technical foundation for that work.
The AI Builder ecosystem plays a critical role in delivering this value.
This week at #MongoDBlocal NYC we announced new partnerships that enable this new era of AI application development with Emergent, Monk.io, and Retool.
Together we are enabling the next generation of applications and builders!
mongodb.com/company/blog/eve…
MongoDB retweeted
Devin for @MongoDB Modernizations is here. Devin handles the legacy code changes while MongoDB AMP moves and validates the data. Customers can reach production faster, freeing engineers to build great software and solve hard problems.
Learn more: devin.ai/blog/devin-for-mong…
MongoDB retweeted
.@MongoDB’s unified, intelligent data platform is powering the next generation of applications, with a globally distributed database built for what’s next.
Proud to celebrate $MDB today! #NasdaqListed
MongoDB retweeted
Today, we're excited to announce the public preview of data residency in Europe for the Atlas Embedding and Reranking API Service (ERAS).
European teams can now use Voyage AI embedding and reranking models through @MongoDB Atlas while keeping inference within the selected Europe geography—helping organizations meet data-residency requirements while building accurate AI-powered search and retrieval. mongodb.social/6010B1Af7A
MongoDB retweeted
Most teams building agents have moved past "can we build a demo" to "can we run this in production."
We built a joint reference architecture with @MongoDB for exactly that: Temporal for durable execution, MongoDB Atlas and Voyage AI for the data and retrieval agents need to work with.
Details here ➡️ temporal.io/blog/mongodb-tem…
Oh, and hey: if you're at BuildFest in San Francisco today, visit our booth and we'll walk you through it live.
MongoDB retweeted
Big news from #MongoDB.local Build Fest 🚀@MongoDB is now natively available inside Claude Code, Codex, Grok Build and Devin.
We also launched the MongoDB Atlas Managed MCP Server: fully hosted, no infra to manage, governance built in.
Agentic-ready infrastructure where builders already work.
techtarget.com/data-technolo…
MongoDB retweeted
DEEPSEEK RAISES PRICES | DATABRICKS RAISES $5B | CXMT CENTURY xitter.cf/i/broadcasts/1YxNrbbWw…
MongoDB retweeted
Coding agents issue dozens of context-fetch calls per task across multi-file, evolving repos. Most embedding models were never trained for that.
📢 Introducing voyage-code-4 — trained on retrieval patterns from real issue-fixing pull requests. 32K context.
📈voyage-code-4 outperforms Cohere Embed v4 and Gemini Embedding 2 by an average of 28.25% and 31.03% on agentic code retrieval
Get started with voyage-code-4: mongodb.social/6018B1PJwy
MongoDB retweeted
Devin now works directly on your live data in @MongoDB Atlas.
Query it, manage it, provision a new cluster mid-task. No stale schemas, no copied-in context, no waiting on someone to set up a database.
Get started today by provisioning a MongoDB database directly from Devin.
MongoDB retweeted
NEW: Inside AI's Biggest Downstream Winner.. the Surge in AI Database Demand
"Data is the unsung hero, & data is back."
@MongoDB CEO CJ Desai (@cj_mongodb)
The unexpected result? Hyperscalers are turning away even top-50 accounts. "Sorry, we don't have a capacity." "And they are one of the top 50 customers for that hyperscaler."
ElevenLabs alone runs "north of 50 million agents, depending on when you look at it, all running on MongoDB.. that gives us a lot of confidence that we have the right architecture for agentic workloads."
NASDAQ: $MDB
We cover:
› The 3 classes of AI customers MongoDB serves
› Why hyperscalers are telling top-50 accounts "no capacity"
› On-prem, sovereign AI, and the data-center comeback
› ElevenLabs running 50M+ agents on MongoDB
› MongoDB (OLTP) vs Snowflake & Databricks (OLAP)
› Why there is no standardization in enterprise AI models
› Auto-scaling & the fall of expensive DBAs
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
(00:00) CJ Desai, CEO at MongoDB
(01:12) Top CEOs at the Raise AI Summit
(03:24) The 3 types of companies powering the AI boom
(07:25) Why on-prem is making a shocking comeback
(09:01) Hyperscalers are quietly running out of capacity
(11:06) What actually separates MongoDB from Snowflake x Databricks
(13:18) Why Frontier Labs treat MongoDB as their memory layer
(16:22) From Oracle intern to first-time CEO
(19:19) Becoming CEO during the AI chaos
(23:53) The World Cup crisis that tested MongoDB's scale
(28:19) The real complexity behind simple AI agents
(31:22) Open source vs. closed models: what customers actually pick
(34:36) CJ's honest take on data centers in space
(36:50) The mentors who shaped a first-time CEO
(40:32) MongoDB's next big bets
(41:36) Data is back?
MongoDB retweeted
BREAKING: CEO of @MongoDB “CJ” Desai (@cj_mongodb) says "Data is so back"
"Data is the unsung hero, & data is back.
You cannot create an AI application without a great data layer.
Your AI application is as good as your data."
Facts.
MongoDB retweeted
You should not have to think about chunking.
voyage-context-4 makes that possible.
With auto-chunking, no 32K ceiling, and built-in overlap support, it delivers 2.1% better retrieval than voyage-context-3 at 33% lower cost.
A strong fit for retrieval over long documents and agent context engineering.
Learn more: mongodb.social/6013BDaj1v
MongoDB retweeted
Build the future of Agentic AI with LangChain & @MongoDB at our hackathon in London.
Join us at CodeNode on Saturday, 2nd May for our Agentic Evolution hackathon.
- Prizes: Compete for a share of £15,000 in cash and partner credits.
- Main Stage: The top teams will pitch their ideas on the main stage at MongoDB.local London in front of a VIP judging panel
Move beyond the chat box and build something autonomous.
Register 👉 cerebralvalley.ai/e/mongo-db…
MongoDB retweeted
Honored to join MongoDB as Chief Product Officer, AI and Emerging Products. Time with @cj_mongodb , @bencefalo, and Jim Scharf confirmed what I suspected: this is a team that believes deeply in what they're building and customers who are hungry for more. MongoDB is uniquely positioned as the data foundation for the AI era. Let's build.
MongoDB retweeted
Almost a decade ago, I joined @MongoDB as a Senior Product Manager. Today, I'm honored to share that I'm taking on the role of Chief Product Officer, Core Products at MongoDB.
At MongoDB, I’ve had a front-row seat to what it takes to build software well. From my early days securing our cloud services to my most recent role leading our full core portfolio, one thing has remained constant: how seriously MongoDB takes the craft of product development. Our platform powers the most critical applications of 65,200+ customers worldwide, and evolves alongside them as their needs change.
The best version of these products is still ahead. As we help customers navigate the shift to AI, I'm excited to partner with @PabloSternPlaza, our new Chief Product Officer, AI and Emerging Products, and Jim Scharf, our CTO, to keep our innovation engine running at full speed.
I couldn’t be more energized to help build what’s next.
MongoDB retweeted
There has never been a better time to bring your full self to tech
Loved getting to chat with Anaiya Raisinghani (Senior Technical Evangelist @MongoDB) about the question we're hearing from so many developers right now:
𝙒𝙝𝙖𝙩 𝙨𝙠𝙞𝙡𝙡𝙨 𝙞𝙣𝙘𝙧𝙚𝙖𝙨𝙞𝙣𝙜𝙡𝙮 𝙢𝙖𝙩𝙩𝙚𝙧 𝙖𝙨 𝘼𝙄 𝙖𝙘𝙘𝙚𝙡𝙚𝙧𝙖𝙩𝙚𝙨?
The technical barrier to building has dropped and has democratized access. What we're seeing more and more is that the combo matters: technical depth alongside taste, judgment, and storytelling. And honestly even the way we think about building technical systems is starting to reflect that.
Whether you come from a technical background and want to upskill on AI, or you're newer to tech and ready to start building, MongoDB's free AI Learning Hub has resources for all levels. Guides, on-demand videos, skill badges, and quick starts.
📖 Check it out here: fandf.co/3PEEd3B
Thank you so much MongoDB for partnering on this video!
MongoDB retweeted
We won $40,000 at hackathons without writing a single line of code.
A few months ago, that would’ve sounded ridiculous.
Now it’s normal if the setup is good.
The code wasn’t the hard part.
The hard part was giving the agent the right tools, the right context, and an environment it could actually work in.
We spent most of the hackathon on the idea, the scope, and the setup. The code came after.
@MongoDB was a big part of why we could iterate that fast.
I’m going to write more about the setup behind this
@oscrhong @_javokhir 🚀🚀