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    Home»Development»Databases»Building Gen AI with MongoDB & AI Partners | January 2025

    Building Gen AI with MongoDB & AI Partners | January 2025

    February 11, 2025

    Even for those of us who work in technology, it can be hard to keep track of the awards companies give and receive throughout the year. For example, in the past few months MongoDB has announced both our own awards (such as the William Zola Award for Community Excellence) and awards the company has received—like the AWS Technology Partner of the Year NAMER and two awards from RepVue. And that’s just us! It can be a lot!

    But as hard as they can be to follow, industry awards—and the recognition, thanks, and collaboration they represent—are important. They highlight the power and importance of working together and show how companies like MongoDB and partners are committed to building best-in-class solutions for customers.

    So without further ado, I’m pleased to announce that MongoDB has been named Technology Partner of the Year in Confluent’s 2025 Global Partner Awards! As a member of the MongoDB AI Applications Program (MAAP) ecosystem, Confluent enables businesses to build a trusted, real-time data foundation for generative AI applications through seamless integration with MongoDB and Atlas Vector Search.

    Above all, this award is a testament to MongoDB and Confluent’s shared vision: to help enterprises unlock the full potential of real-time data and AI. Here’s to what’s next!

    Welcoming new AI and tech partners

    It’s been an action-packed start to the year: in January 2025, we welcomed six new AI and tech partners that offer product integrations with MongoDB. Read on to learn more about each great new partner!

    Base64

    Logo for Base64

    Base64 is an all-in-one solution to bring AI into document-based workflows, enabling complex document processing, workflow automation, AI agents, and data intelligence.

    “MongoDB provides a fantastic platform for storing and querying all kinds of data, but getting unstructured information like documents into a structured format can be a real challenge. That’s where Base64 comes in. We’re the perfect onramp, using AI to quickly and accurately extract the key data from documents and feed it right into MongoDB,” said Chris Huff, CEO of Base64. “This partnership makes it easier than ever for businesses to unlock the value hidden in their documents and leverage the full power of MongoDB.”

    Dataloop

    Logo Dataloop

    Dataloop is a platform that allows developers to build and orchestrate unstructured data pipelines and develop AI solutions faster.

    “We’re thrilled to join forces with MongoDB to empower companies in building multimodal AI agents”, said Nir Buschi, CBO and co-founder of Dataloop. “Our collaboration enables AI developers to combine Dataloop’s data-centric AI orchestration with MongoDB’s scalable database. Enterprises can seamlessly manage and process unstructured data, enabling smarter and faster deployment of AI agents. This partnership accelerates time to market and helps companies get real value to customers faster.”

    Maxim AI

    Logo for Maxim AI

    Maxim AI is an end-to-end AI simulation and evaluation platform, helping teams ship their AI agents reliably and more than 5x faster.

    “We’re excited to collaborate with MongoDB to empower developers in building reliable, scalable AI agents faster than ever,” said Vaibhavi Gangwar, CEO of Maxim AI. “By combining MongoDB’s robust vector database capabilities with Maxim’s comprehensive GenAI simulation, evaluation, and observability suite, this partnership enables teams to create high-performing retrieval-augmented generation (RAG) applications and deliver outstanding value to their customers.”

    Mirror Security

    Logo for Mirror Security

    Mirror Security offers a comprehensive AI security platform that provides advanced threat detection, security policy management, continuous monitoring ensuring compliance and protection for enterprises.

    “We’re excited to partner with MongoDB to redefine security standards for enterprise AI deployment,” said Dr. Aditya Narayana, Chief Research Officer, at Mirror Security. “By combining MongoDB’s scalable infrastructure with Mirror Security’s end-to-end vector encryption, we’re making it simple for organizations to launch secure RAG pipelines and trusted AI agents. Our collaboration eliminates security-performance trade-offs, empowering enterprises in regulated industries to confidently accelerate their AI initiatives while maintaining the highest security standards.”

    Squid AI

    Logo for Squid AI

    Squid AI is a full-featured platform for creating private AI agents in a faster, secure, and automated way.

    “As an AI agent platform that securely connects to MongoDB in minutes, we’re looking forward to helping MongoDB customers reveal insights, take action on their data, and build enterprise AI agents,” said Leslie Lee, Head of Product at Squid AI. “By pairing Squid’s semantic RAG and AI functions with MongoDB’s exceptional performance, developers can build powerful AI agents that respond to new inputs in real-time.”

    TrojAI

    Logo for TrojAI

    TrojAI is an AI security platform that protects AI models and applications from new and evolving threats before they impact businesses.

    “TrojAI is thrilled to join forces with MongoDB to help companies secure their RAG-based AI apps built on MongoDB,” said Lee Weiner, CEO of TrojAI. “We know how important MongoDB is to helping enterprises adopt and harness AI. Our collaboration enables enterprises to add a layer of security to their database initialization and RAG workflows to help protect against the evolving GenAI threat landscape.”

    But what, there’s more!

    In February, we’ve got two webinars coming up with MAAP partners that you don’t want to miss:

    • Build a JavaScript AI Agent With MongoDB and LangGraph.js: Join MongoDB Staff Developer Advocate Jesse Hall and LangChain Founding Software Engineer Jacob Lee for an exclusive webinar that highlights the integration of LangGraph.js, LangChain’s cutting-edge JavaScript library, and MongoDB – live on Feb 25.

    • Architecting the Future: RAG and Al Agents for Enterprise Transformation: Join MongoDB, LlamaIndex, and Together AI to explore how to strategically build a tech stack that supports the development of enterprise-grade RAG and AI agentic systems, explore technical foundations and practical applications, and learn how the MongoDB Applications Program (MAAP) will enable you to rapidly innovate with AI – content on demand.

    To learn more about building AI-powered apps with MongoDB, check out our AI Learning Hub and stop by our Partner Ecosystem Catalog to read about our integrations with MongoDB’s ever-evolving AI partner ecosystem.

    Source: Read More

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