AWS re: Invent 2024 - MongoDB charts wider MAAP
MongoDB used its appearance at AWS re: Invent 2024 to tell us that a new cohort of organisations has joined the MongoDB AI Applications Program (MAAP) ecosystem.
Now joining MAAP are Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey and Unstructured.
These companies will offer additional integration options and solutions, we are told.
The MAAP Center of Excellence Team is a cross-functional group of AI experts at MongoDB and the group has worked with partners to build and deploy AI applications.
The expansion of the MongoDB AI Applications Program follows the introduction of vector quantization to MongoDB Atlas Vector Search (which reduces vector sizes while preserving performance).
Llama love
MongoDB is also collaborating with Meta on Llama to support developers.
Currently, both enterprise and public sector organisations are using Llama and MongoDB to build AI-enriched applications. MongoDB plans to implement turnkey mapping from its database to the LlamaStack APIs.
“At the beginning of 2024, many organisations saw the immense potential of generative AI, but were struggling to take advantage of this new, rapidly evolving technology. And 2025 is sure to bring more change and further innovation,” said Greg Maxson, senior director of AI GTM and strategic partnerships at MongoDB.
Maxson says the aim of MAAP and of MongoDB’s collaborations with industry leaders like Meta, is to enable users to use their data to build custom AI applications in a scalable, cost-effective way.
Launched in the summer of 2024—with founding members Accenture, Anthropic, Anyscale, Arcee AI, AWS, Cohere, Credal, Fireworks AI, Google Cloud, gravity9, LangChain, LlamaIndex, Microsoft Azure, Nomic, PeerIslands, Pureinsights and Together AI the MongoDB AI Applications Program is designed to help organisations work with data and to take advantage of advancing AI technologies.
It offers customers an array 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.
Because the AI landscape and customer expectations of AI continue to evolve, MongoDB has promised it has “carefully grown” the MAAP program (and the MAAP ecosystem of companies) to best meet customer needs.
“Business leaders are increasingly recognising generative AI’s value as an accelerator for driving innovation and revenue growth. But the real opportunity lies in moving from ambition to action at scale. We are pleased to continue working with MongoDB to help deliver tangible value to clients and drive competitive advantage by leveraging a trustworthy data foundation, thereby enabling gen AI at scale,” said Niraj Parihar, CEO of insights & data global business line at Capgemini.
Parihar thinks MAAP helps clients build generative AI strategies and identify key use cases.
Confluence with Confluent
“Enterprise AI strategy is inextricably dependent upon fresh, trusted data about the business. Without real-time datasets, even the most advanced AI solutions will fail to deliver value,” said Shaun Clowes, chief product officer at Confluent. “Seamlessly integrated with MongoDB and Atlas Vector Search, Confluent’s fully managed data streaming platform enables businesses to build the trusted, always-up-to-date data foundation essential for powering gen AI applications.”
Providing users with direct support from technical subject matter experts has been integral to MAAP.
Since the program’s inception, the MAAP Center of Excellence team has worked with more than 150 organisations on a range of technical challenges, including model and technology stack evaluation, chunking strategies, advanced retrieval techniques and the establishment of agentic workflows.
Example projects include working on sound diagnostic-based maintenance recommendations for a large manufacturer and customer service automations for companies across industries.
The expansion of the MongoDB AI Applications Program builds on recent AI-related announcements from MongoDB.
In October, MongoDB announced vector quantization capabilities in MongoDB Atlas Vector Search. By reducing vector storage and memory requirements while preserving performance, these capabilities empower developers to build AI-enriched applications with more scale and at a lower cost.
