Intern Series: Five Reasons Why You Should Attend MongoDB’s Open House

Yuhong Zhang
July 16, 2020 | Updated: August 31, 2022
#culture #MongoDB Interns

Hi, my name is Yuhong Zhang! I’m an international student from Beijing. I did my undergrad in Computer Science at New York University and I’m now continuing my studies at Carnegie Mellon University. Last summer, I attended MongoDB’s Annual Summer Open House at their NYC headquarters in order to learn about MongoDB’s intern program and meet the MongoDB Campus Recruiting team. The Open House was an unforgettable experience and I had the opportunity to meet some amazing people. Deeply inspired, I applied to MongoDB’s internship program and now I’m here working on the Storage Execution Team within our Core Server department.

This year’s Open House will be hosted virtually on July 28th, here are a few reasons why you can’t miss it!

What is MongoDB? Why is it different from other database companies? How does an open-source software make money and grow so rapidly? These are some of the questions I had before attending the Open House. If you have the same questions, the Open House is a great place to get them answered. In fact, you will be able to hear from people like Dan Pasette, the EVP of Core Engineering!
Think you need to know a lot about databases to attend the Open House? Not necessarily! MongoDB has a fleet of products and teams focusing on not only databases, but also distributed systems, cloud computing, web development, security, and much more. At the Open House, you’ll be able to learn about all of this!
Have you ever wondered how to join MongoDB as an intern and to contribute directly to MongoDB’s products? Learn more about the amazing internship experience and check out the projects interns are working on at the Open House. Did I mention that there will be demos?
The most popular part of the Open House is definitely the New Grad Panel! At the event, inspiring, witty, and welcoming engineers will share a look into their lives at MongoDB. Whether you are curious about the work-life balance at MongoDB or what it’s like to live and work in New York City, you’ll be able to get all of your questions answered!
Can the Open House be complete without a networking session? Of course not. Don’t miss the chance to talk to our engineers and other student attendees before leaving. My intern class has students from 41 different universities, so you may even get to meet a MongoDBer who goes to your school. You’ll also be able to meet the recruiters who hire for MongoDB’s Intern and New Grad programs!

If you’re studying computer science and interested in MongoDB, Apply here! Please note that spots are limited. We will confirm your attendance via email by July 21st with a virtual ticket to the event.

I look forward to seeing you there!

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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

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