Catch MongoDB at PyCon Montreal

Francesca Krihely
March 26, 2014 | Updated: May 22, 2015

MongoDB will be at PyCon 2014 in Montreal. We're looking forward to meeting with the Python community at the event. Catch Jesse Davis's talk on Asynchronous Python frameworks and stop by the MongoDB Booth (#201) to meet the MongoDB Community, Engineering and Education team. Jesse, who helped work on Tulip and is the core maintainer of Motor, the async driver for MongoDB and Tornado, will discuss how to use the various asynchronous frameworks for building Python applications.

We've seen great adoption of MongoDB and Python. MongoDB's data model is naturally suited to Python programming, so python projects like IPython, Server Density and NewsBlur leverage MongoDB for convenient storage. PyMongo was one of the first drivers built for MongoDB and is the 24th most popular of all Python packages, downloaded 290,000 times a month. Our Python team, led by Bernie Hackett, Jesse Davis and Luke Lovett with the help of Ross Lawley and Amalia Hawkins, among others, works hard to make MongoDB development as natural as writing Python code. We've also seen great community projects in MongoEngine, MongoKit, Monary and more.

With over 51,000 students who have taken our MongoDB and Python class, M101P, we're continuing to see Python as a critical and growing part of the MongoDB community. Startups, large enterprises and everyone in between are leveraging the simplicity and power of MongoDB and Python to power modern applications.

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Start Using MMS, Get a Discount to MongoDB World

The MongoDB and MongoDB Management Service team is getting ready for MongoDB World in June. The conference lineup includes Amazon CTO Werner Vogels and Cloudera Co-Founder Mike Olson for keynote addresses. There will be more than 80 in-depth sessions geared towards developers, operations professionals and executives. You’ll hear how companies like Bosch, Forbes, Medtronic, Ticketmaster, the VA, Verizon Wireless, and more are using MongoDB. The MMS team will be at MongoDB World to speak with users like you. Expect to learn about the MMS roadmap and provide input on the features that you want to see. MMS users receive a special discount on the conference. How do you claim your discount? Once you install monitoring or backup, you’ll see a discount code for MongoDB World in the app. You must be actively using MMS to qualify for this promotion! We’re looking forward to seeing you there.

March 25, 2014
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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.

November 21, 2024