Le programme d’applications MongoDB AI (MAAP) est désormais disponible

Alan Chhabra
July 23, 2024 | Updated: September 11, 2024
#genAI

Chez MongoDB, tout émane de notre volonté d’aider nos clients à résoudre leurs problèmes d’applications et de données, quel que soit le cas d’utilisation.

Nous discutons chaque jour avec nos clients, et leur enthousiasme pour l’IA générative est manifeste. Cependant, ils nous disent ne pas trop savoir comment passer du concept à la production tout en contrôlant les coûts. C’est pourquoi il est important de bien se préparer à l’adoption de l’IA.

We’re therefore thrilled to announce the general availability of the MongoDB AI Applications Program (MAAP)!

Diagram that writes out the different components of the MAAP program. At its core is the MongoDB vector database, with the other components bordering it. The other components include embedding models, large language models, frameworks, RAG w/ Enterprise Data Connectors, System Integrations, and Model Hosting & Cloud Providers.

A first-of-its-kind program, MAAP will help organizations take advantage of rapidly advancing AI technologies. It offers customers a wealth of resources to put AI applications into production: reference architectures and an end-to-end technology stack that includes integrations with leading technology providers, professional services, and a unified support system to help customers quickly build and deploy AI applications.

Indeed, some early AI adopters found that legacy technologies can’t manage the multi-modal data structures required to power AI applications. This was compounded by a lack of in-house skills and the perceived risk of integrating disparate components without support. As a result, businesses couldn’t take advantage of AI advances quickly enough.

Which is why we’re excited that MAAP is now available: the MAAP program and its ecosystem of companies addresses these challenges comprehensively. MAAP offers customers the right expertise and solutions for their use cases, and removes integration risk. Meanwhile, the MAAP ecosystem seamlessly integrates many of the world’s leading AI and tech organizations—a real value-add for customers.

While the MAAP ecosystem is just getting started, it already includes tech leaders like Accenture, AWS, Google Cloud, and Microsoft Azure, as well as gen AI innovators Anthropic, Cohere, and LangChain. The result is a group of organizations that will enable customers to build differentiated, production-ready AI applications, while aiming to deliver substantial return on investment.

Unlocking the power of data…

It’s an understatement to say that the AI landscape is ever-changing. To keep pace with the latest developments and customer expectations, access to trusted collaborators and a robust support system are critical for organizations who want to innovate with AI.

What’s more, innovating with AI can mean tackling data silos and overcoming limited in-house technical expertise—which MAAP solves for with a central architecture for gen AI applications, pre-configured integrations, and professional services to ensure organizations’ requirements are met.

This framework provides flexibility for technical and non-technical teams alike, empowering them to leverage AI and company data for tasks specific to their department, no matter their preferred cloud or LLM.

The MAAP ecosystem—representing industry leaders from every part of the AI stack—includes Accenture, Anthropic, Anyscale, Arcee AI, AWS, Cohere, Credal, Fireworks AI, Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic, PeerIslands, Pureinsights, and Together AI.

MongoDB is uniquely qualified to bring together the solutions MAAP offers: MongoDB customers can use any LLM provider, we can run anywhere (on all major cloud providers, on premises, and at the edge), and MongoDB offers seamless integrations with a variety of frameworks and systems.

Perhaps most importantly, thousands of customers already rely on MongoDB to power their mission-critical apps, and we have years of experience helping customers unlock the power of data. The ultimate aim of MAAP is to enable customers to get the most out of their data, and to ensure that they can confidently innovate with AI.

A recent success is Anywhere Real Estate (NASDAQ: HOUS), the parent company of well-known brands like Century 21, Coldwell Banker, and Sotheby’s International Realty.

Anywhere partnered with MongoDB to drive their digital transformation, and is now delving into the potential of MAAP to fast-track their AI adoption. By harnessing MongoDB’s expertise, Anywhere is set to future-proof its tech stack and to excel in an increasingly AI-driven landscape.

“Generative AI is a game-changer for Anywhere, and we’re integrating it into our products with enthusiasm,” said Damian Ng, Senior Vice President of Technology at Anywhere. “MongoDB has been an invaluable partner, helping us rapidly explore and develop new approaches and opportunities. The journey ahead is exciting!”

…and clearing the way for AI innovation

MAAP offers customers a clear path to developing and deploying AI-enriched applications.

The cornerstone of MAAP is MongoDB: applications are underpinned by MongoDB, which securely unifies real-time, operational, unstructured, and AI-related data without the need for bolt-on solutions. MongoDB’s open and integrated architecture provides easy access to the MAAP partner network and enables the extension and customization of applications.

With MAAP, customers can:

  • Accelerate their gen AI development with expert, hands-on support and services. MAAP expert services, combining the strengths of MongoDB Professional Services and industry-leading gen AI consultancies, will enable customers to rapidly innovate with AI. MAAP offers strategic guidance on roadmaps and skillsets, assists with data integration into advanced AI technologies, and can even develop production-ready applications. MAAP goes beyond development, empowering teams with best practices for securely integrating your data into scalable gen AI solutions, ensuring businesses are equipped to tackle future AI initiatives.

  • Build high-performing gen AI applications that tackle industry-specific needs. Pre-designed architectures give customers repeatable, accelerated frameworks for building AI applications. Architectures are fully customizable and extendable to accommodate ever-evolving generative AI use cases, like retrieval-augmented generation (RAG) or advanced AI capabilities like Agentic AI and advanced RAG technique integrations. With MongoDB’s open and integrated platform at its core, innovation with MAAP’s composable architectures is unlimited, making it easy for customers to bring the power of leading AI platforms directly to their applications.

  • Upskill teams to quickly—and repeatedly—build modern AI applications. MAAP customers have access to a variety of learning materials, including a dedicated MAAP GitHub library featuring integration code, demos, and a gen AI application prototype. These comprehensive resources will enable developers to build intelligent, personalized applications faster, while giving organizations the tools to expand their in-house AI expertise. With MAAP, customers have access to integration and development best practices that they can use for future gen AI projects.

It’s early days, but there are wide-ranging indications that AI will impact everything from developer productivity to economic output. We’ve already seen customers use gen AI to speed modernization efforts, boost worker productivity with agents, unlock sales productivity, and power identity governance with natural language.

In other words, AI is here to stay, and now is the time to take advantage of it. MAAP is designed to set customers up for AI success today and tomorrow: the program will be continuously enhanced with the latest technological advancements and industry best practices, to ensure that customers stay ahead of this rapidly evolving space.

So please visit the MAAP page to learn more or to connect with the team! Our MAAP experts are happy to guide you on your AI journey and to show how the MongoDB AI Applications Program can help your organization.

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magicpin Builds India's Largest Hyperlocal Retail Platform on MongoDB

Despite its trillion-dollar economy, 90% of retail consumption in India still takes place offline . While online retail in India has grown in recent years, much of it still consists of dark stores (a retail outlet or distribution center that exists exclusively for online shopping) and warehouses, the majority of retail establishments—fashion, food, dining, nightlife, and groceries—thrive as physical stores. What’s more, businesses looking to transition to online models are hindered by major platforms that focus primarily on clicks rather than encouraging transactions. This opportunity was the inspiration for the founders of magicpin , India’s largest hyperlocal retail platform. magicpin has revolutionized the conventional pay-per-click model, where businesses bid on keywords or phrases related to their products or services and then pay a fee each time someone clicks on an ad, with a new pay-per-conversion strategy. In a pay-per-conversion model, businesses only pay when they make an actual sale of a product or item. magicpin does not rely on dark stores, warehouses, or deep discounting; instead, it collaborates with local retailers, augmenting foot traffic and preserving the essence of local economies. This unique model ensures that consumers not only enjoy existing in-store benefits, but also receive additional perks when opting to transact through magicpin. “We enable the discovery of those merchants,” says Kunal Gupta, senior vice president at magicpin. “Which merchants in your local neighborhood are selling interesting stuff? What’s their inventory? What savings can we offer to buyers? We have data for everything.” Effectively three SaaS platforms in one, magicpin is a seller app, a buyer app, and a developing logistics app on the Open Network for Digital Commerce ( ONDC ), which is backed by the Indian government. With over 10 million users on its platform (covering the majority of Indian cities and over 100 localities), magicpin has established itself as a leading offline retail discovery and savings app. magicpin currently has 250,000 merchants in categories ranging from food to fashion to pharmacy. The power behind magicpin has always been MongoDB's flexibility and scalability. And from the company’s start in 2015, it became clear that magicpin was on to something special. “In the first week of March 2023 when we onboarded ONDC, we hit almost 10,000 transactions a day. In October last year, we peaked at 50,000 orders in a single day, which is a huge milestone,” says Kunal. “When an ONDC order is placed, it flows through us. We manage the entire process—from sending the order to the merchant, assigning logistics personnel for pickup and delivery, to handling any customer support tickets that may arise. It's the seamless integration of these elements that defines our contribution to the intricate framework of ONDC." Having launched using the community version of MongoDB , Kunal realized that magicpin needed to make better use of its relatively lean tech team and allow them to focus more on building the business. He also saw that a managed service would be a more effective way of handling maintenance and related tasks. “We realized there had to be a better solution. We can’t afford to have all the database expertise tied up with a team that’s focusing on creating businesses and building applications,” said Kunal. “That’s when we started to use MongoDB Atlas." magicpin uses a multitude of technologies, to store over 600 million SKUs, and handle its SaaS platform, session cache, card, and order management, and MongoDB Atlas sits at the heart of the business. “For our operational and scaling needs, it’s seamless,” Kunal concludes. “Availability is high, and monitoring and routing are super-good. Our lives have become much easier.” Watch the full presentation on YouTube to learn more.

July 23, 2024
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Building Gen AI with MongoDB & AI Partners | November 2024

Unless you’ve been living under a rock, you know it’s that time of year again—re:Invent season! Last week, I was in Las Vegas for AWS re:Invent, one of our industry’s most important annual conferences. re:Invent 2024 was a whirlwind of keynote speeches, inspirational panels and talks, and myriad ways to spend time with colleagues and partners alike. And this year, MongoDB had its biggest re:Invent presence ever, alongside some of the most innovative players in AI. The headline? The MongoDB AI Application Program (MAAP) . Capgemini, Confluent, IBM, QuantumBlack AI by McKinsey, and Unstructured joined MAAP, boosting the value customers receive from the program and cementing MongoDB’s position as a leader in driving AI innovation. We also announced that MongoDB is collaborating with Meta to support developers with Meta models and the end-to-end MAAP technology stack. Figure 1: The MongoDB booth at re:Invent 2024 MongoDB’s re:Invent AI Showcase was another showstopper. As part of the AI Hub in the re:Invent expo hall, MongoDB and partners Arcee, Arize, Fireworks AI, and Together AI collaborated on engaging demos and presentations. Meanwhile, the “ Building Your AI Stack ” panel—which included leaders from MongoDB and MAAP partners Anyscale, Cohere, and Fireworks AI—featured an insightful discussion on building AI technologies, challenges with taking applications to production, and what’s next in AI. As at every re:Invent, networking opportunities abounded; I had so many interesting and fruitful conversations with partners, customers, and developers during the week’s many events, including those MongoDB sponsored—like the Cabaret of Innovation with Accenture, Anthropic, and AWS; the Galactic Gala with Cohere; and Tuesday’s fun AI Game Night with Arize, Fireworks AI, and Hasura. Figure 2: Networking at the Galactic Gala Whether building solutions or building relationships, MongoDB’s activities at re:Invent 2024 showcased the importance of collaboration to the future of AI. As we close out the year, I’d like to thank our amazing partners for their support—we look forward to more opportunities to collaborate in 2025! And if you want to learn more about MongoDB’s announcements at re:Invent 2024, please read this blog post by my colleague Oliver Tree. Welcoming new AI and tech partners In November, we also welcomed two new AI and tech partners that offer product integrations with MongoDB. Read on to learn more about each great new partner! Braintrust Braintrust is an end-to-end platform for building and evaluating world-class AI apps. “ We're excited to partner with MongoDB to share how you can build reliable and scalable AI applications with vector databases,” said Ankur Goyal, CEO of Braintrust. “By combining Braintrust’s simple evaluation workflows with MongoDB Atlas, developers can build an end-to-end RAG application and iterate on prompts and models without redeploying their code.” Langtrace Langtrace is an open-source observability tool that collects and analyzes traces in order to help you improve your LLM apps. “ We're thrilled to join forces with MongoDB to help companies trace, debug, and optimize their RAG features for faster production deployment and better accuracy,” said Karthik Kalyanaraman, Co-founder and CTO at Langtrace AI. “MongoDB has made it dead simple to launch a scalable vector database with operational data. Our collaboration streamlines the RAG development process by empowering teams with database observability, speeding up time to market and helping companies get real value to customers faster.” But wait, there's more! To learn more about building AI-powered apps with MongoDB, check out our AI Resources Hub and stop by our Partner Ecosystem Catalog to read about our integrations with MongoDB’s ever-evolving AI partner ecosystem.

December 12, 2024