MongoDB, Inc. announced the expansion of its MongoDB AI Applications Program (MAAP) ecosystem, welcoming new organizations including Capgemini, Confluent, IBM, QuantumBlack, AI by McKinsey, and Unstructured. These additions will offer customers more integration and solution options, enhancing the value derived from MAAP. The program aims to empower customers to build custom AI applications in a scalable and cost-effective manner.
MongoDB is also collaborating with Meta on Llama to support developers in building more efficient AI-enriched applications. Both enterprise and public sector customers are currently leveraging Llama and MongoDB to accelerate progress toward business goals. MongoDB plans to implement turnkey mapping from its database to the LlamaStack APIs in the coming months.
The MAAP Center of Excellence Team, a cross-functional group of AI experts, has worked with over 150 organizations on technical challenges such as model evaluation, chunking strategies, and advanced retrieval techniques. This expansion follows the introduction of vector quantization to MongoDB Atlas Vector Search, which reduces vector sizes while preserving performance at a lower cost.
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