MongoDB has announced an AI Applications Program. The company describes MongoDB AI Applications Program (MAAP) as including reference architectures and an end-to-end technology stack that includes integrations with leading technology providers, professional services, and a unified support system.
MongoDB is a NoSQL document database that stores its documents in a JSON-like format with schema. MongoDB Atlas is the fully managed global cloud version of the software that can be run on AWS, Azure, or Google Cloud.
The new program, MAAP, puts together resources including ways to integrate MongoDB apps with other technology providers, professional services, and a unified support system. The aim is to make it easier to manage the multi-modal data structures required to power AI applications.
The initial links with other technology providers covers a variety of areas, including cloud infrastructure, foundation models (FM), generative AI framework and model hosting, and consultancies. The list includes Accenture, AWS, Google Cloud, and Microsoft Azure, as well as gen AI companies Anthropic, Cohere, and LangChain. Other companies on the list include Anyscale, Credal.ai, Fireworks.ai, gravity9, LlamaIndex, Nomic, PeerIslands, Pureinsights, and Together AI. MongoDB says this group of organizations will enable customers to build differentiated, production-ready AI applications.
MongoDB says that when a company signs up for MAAP, they will initially work with MongoDB Professional Services to get a good understanding of what products and technologies are in use and what business problems the company wants to solve. MongoDB Professional Services will then work with its partners to develop strategic roadmaps including the architecture, and once the initial results are validated, will optimize fully built applications for production.
In practical terms, the program makes use of composable architectures - pre-designed architectures designed to serve as accelerated frameworks for fully customizable gen AI applications. It also comes with customizable implementation patterns The architectures are extendable and can be used for projects including retrieval-augmented generation (RAG) or advanced AI capabilities like Agentic AI and advanced RAG technique integrations.
MAAP also comes with a dedicated MAAP GitHub library featuring integration code, demos, and a gen AI application prototype, as well as integration and development best practices.
Links to the technology stack are available now on the MongoDB website.
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