MongoDB Launches AI Initiative with Google Cloud to Help Developers Build AI Powered Applications
During MongoDB.local NYC, MongoDB, Inc. announced a collaboration with Google Cloud to facilitate the adoption of generative AI and the development of new application classes. MongoDB Atlas, the multi-cloud developer data platform, will integrate with Google Cloud’s Vertex AI to enable developers to leverage generative AI more efficiently and with reduced complexity. With the operational data store at its core, MongoDB Atlas provides a strong foundation for building generative AI-powered applications. Developers can leverage MongoDB Atlas, along with Google Cloud’s Vertex AI large language models (LLMs) and professional services, to accelerate software development.
The partnership between MongoDB and Google Cloud aims to address the challenges faced by developers when incorporating generative AI into their applications. Currently, developers often need to assemble various technologies and components or integrate solutions into their existing tech stacks, leading to cumbersome and complex software development processes. MongoDB and Google Cloud are working together to provide integrated solutions and seamless integrations that empower developers to quickly build applications leveraging new AI technologies.
The collaboration offers two key benefits:
- Seamless integration of Google Cloud’s Vertex AI foundation models with MongoDB Atlas Vector Search: MongoDB Atlas Vector Search can now be used alongside Vertex AI, enabling developers to create AI-powered applications with highly personalized and engaging user experiences. By leveraging the text embedding API provided by Vertex AI, developers can generate embeddings from customer data stored in MongoDB Atlas. Combined with PaLM text models, this integration enables advanced functionalities such as semantic search, classification, outlier detection, AI-powered chatbots, and text summarization.
- Hands-on assistance from MongoDB and Google Cloud professional services: MongoDB and Google Cloud professional services teams will provide expertise and assistance throughout the application development process. They will help with data schema and indexing design, query structuring, and fine-tuning AI models to lay a strong foundation for applications. Google Cloud’s Vertex AI platform caters to a wide range of AI use cases, from advanced practitioners to business users, facilitating the creation of out-of-the-box experiences using foundational models for language, image, speech, and code. The collaboration also aims to integrate Google’s Generative AI capabilities directly into MongoDB Atlas, making the development experience even more seamless. Additionally, the professional services teams will optimize applications for performance and assist with future problem-solving to expedite feature deployment in production.
Alan Chhabra, EVP of Worldwide Partnerships at MongoDB, emphasized the democratization of access to game-changing technology through MongoDB Atlas. Kevin Ichhpurani, Corporate VP of Global Ecosystem and Channels at Google Cloud, highlighted the opportunity for developers to create innovative applications and experiences with generative AI.
The collaboration has already seen success with companies like One AI, which leveraged MongoDB Atlas on Google Cloud to build agile, data-driven, and scalable software. The flexibility and scalability of MongoDB Atlas allowed for rapid development and adaptation to evolving needs without migration or compatibility issues.
By combining the strengths of MongoDB Atlas and Google Cloud’s Vertex AI, MongoDB and Google Cloud aim to enable organizations of all sizes to incorporate AI into their applications effectively and embrace the future of generative AI.
