There’s a New Compass and It Comes With a Shell!

In Compass 1.22 Beta we are introducing the integrated MongoDB Shell, which allows you to run database commands and scripts directly from Compass.

Last week at MongoDB.live we introduced Compass 1.22 Beta, which comes with an integrated MongoDB Shell.

Compass is the easiest way to interact with your data in MongoDB: as we built it over time, we’ve always focused on simplicity and on exposing the features of the database through a user-friendly interface.

With this new version of Compass, we are offering a new way to work with MongoDB: when you need to go beyond what the UI offers, you can quickly pull up the shell, type any database command and see the results without having to go to the terminal and connect to your server or cluster again.

How it Works

When you are connected to a cluster in Compass, you will see that at the bottom there is a new “MongoSH Beta” component. If you click on that, you will have quick access to the integrated MongoDB Shell. The shell is already connected to your cluster and you can start typing commands right away.

Syntax Highlighting & Autocomplete

The integrated MongoDB Shell includes syntax highlighting to enhance readability and to make it easy to understand the structure of documents and command results and to quickly distinguish data types.

Additionally, the shell comes with intelligent autocomplete to help make sure you are writing the right commands or query operators and to save time when typing.

Scripting

The integrated MongoDB Shell is a great place to execute bulk operations and run scripts. You can use any supported MongoDB command and write JavaScript in the same way you are used to doing in the shell.

For example, in the screenshot below you can see how I used a simple script to grab all the documents in the collection, reformat the field names from camel-case to snake-case and then do an insertMany() to insert the resulting documents back into a new collection.

What Comes Next

What you see in Compass 1.22 is just the beginning. With this first integration, we embedded the MongoDB Shell into the Compass UI so you don’t need to jump to the terminal and connect again to be able to run database commands and scripts.

The next thing we will be looking at is a deeper integration between the shell and the rest of the user interface. For example, when you run a find() in the shell, the results will be available in the Documents tab. As this is something we are still designing and prototyping, your feedback is extremely valuable: feel free to reach out and let us know what you think.

Try Compass 1.22 beta today and let us know what you think about the integrated shell. Join the discussion at the MongoDB Community Forums or share your feature requests using the MongoDB Feedback Engine.

← Previous

DataGrip: a great database IDE to work with MongoDB Atlas

Learn about the new MongoDB integration for JetBrains DataGrip.

June 16, 2020
Next →

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