MongoDB and deepset Pave the Way for Effortless AI App Creation
June 24, 2025
Building robust AI-powered applications has often been a complex, resource-intensive process. It typically demands deep technical and domain expertise, significant development effort, and a long time to value. For IT decision-makers, the goal is clear: enable AI innovation to achieve real business outcomes without compromising scalability, flexibility, or performance, and without creating bottlenecks for development teams serving business teams and customers.
Solutions from deepset and MongoDB empower organizations to overcome these challenges, enabling faster development, unlocking AI's potential, and ensuring the scalability and resilience required by modern businesses.
Breaking barriers in AI development: The real-time data challenge
For many industries, real-time data access is critical to unlocking insights and delivering exceptional customer experiences. AI-driven applications rely on seamless retrieval and processing of structured and unstructured data to fuel smarter decision-making, automate workflows, and improve user interactions.
For example, in customer service platforms, instant access to relevant data ensures fast and accurate responses to user queries, improving satisfaction and efficiency. And healthcare applications require immediate access to patient records to enable personalized treatment plans that enhance patient outcomes. Similarly, financial systems rely on real-time analysis of market trends and borrower profiles to make smarter investment and credit decisions to stay competitive in dynamic environments.
However, businesses often face challenges when scaling AI applications. These challenges include inconsistent data retrieval, where organizations struggle to efficiently query and access data across vast pools of information. Another challenge is complex query resolution, which involves interpreting multi-layered queries to retrieve the most relevant insights and provide smart recommendations. Data security concerns also pose obstacles, as businesses must ensure sensitive information remains protected while maintaining compliance with regulatory standards. Lastly, AI production-readiness is critical, requiring organizations to ensure their AI applications are properly configured and thoroughly tested to support mission-critical decisions and workflows with accuracy, speed, and adaptability to rapid changes in the AI ecosystem or world events.
Addressing these challenges is vital for businesses looking to unlock the full potential of AI-powered innovations and maintain a competitive edge.
Transformative solution: Deepset RAG expertise meets MongoDB Atlas Vector Search
We’re excited to announce a new partnership between deepset and MongoDB. By integrating deepset’s expertise in retrieval-augmented generation (RAG) and intelligent agents with MongoDB Atlas, developers can now more easily build advanced AI-powered applications that deliver fast, accurate insights from large and complex datasets.
We're thrilled to partner with MongoDB and build out an integrated end-to-end GenAI solution to speed up the time to value of customers' AI efforts and help solve their complex use cases to deliver key business outcomes.
Mark Ghannam, Head of Partnerships, deepset
What sets deepset apart is its product and documentation production-readiness, flexibility for solving complex use cases, and its library of ready-to-use templates, which allow businesses to get started fast to quickly deploy common RAG and agent functionalities, reducing the time and effort required for development.
For teams needing customization, Haystack provides a modular, object-oriented design that supports drag-and-drop components, utilizing both standard integrations and custom components. This makes it highly accessible, enabling developers to configure workflows according to their specific application needs, without requiring extensive coding knowledge.
On top of Haystack, deepset’s AI Platform makes the prototype to production process of building AI applications even faster and more efficient. It extends Haystack’s building block approach to AI application development, with a visual design interface, qualitative user testing, side-by-side configuration/large language model (LLM) testing, integrated debugging, and hallucination scoring, in addition to expert service assistance and support. The platform’s Studio Edition is free for developers to try.
Through seamless integration with MongoDB Atlas Vector Search, deepset equips developers with the ability to incorporate advanced RAG and agent capabilities into their compound AI applications easily through the processes described, known as LLM orchestration.
Key features enable several transformative possibilities across industries. Intelligent chatbots allow businesses to deliver precise and context-aware customer interactions, significantly enhancing call center efficiency. Automated content tagging optimizes and streamlines workflows in content management systems, enabling faster categorization and discovery of information. Tailored educational, research, and media platforms personalize learning materials, research, and media content based on user questions and preferences, improving engagement and effectiveness while adhering to institution and brand guidelines. Industry-specific planning systems and workflow automations simplify complex processes, such as lending due diligence.
By leveraging the deepset framework alongside MongoDB Atlas Vector Search, developers gain a powerful toolkit to optimize the performance, scalability, and user experience of their applications. This collaboration provides tangible benefits across industries like customer service, content management, financial services, education, defense, healthcare, media, and law—all while keeping complexity to a minimum.
Data security and compliance: A foundational priority
As organizations adopt advanced AI technologies, protecting sensitive data is paramount. MongoDB Atlas and deepset offer robust protections to safeguard data integrity.
MongoDB and deepset provide industry-standard security measures such as encryption, access controls, and auditing, along with compliance certifications like ISO 27001, SOC 2, and CSA STAR.
These measures help ensure that sensitive data is handled with care and that client information remains secure, supporting businesses in meeting their regulatory obligations across different sectors.
Incorporating MongoDB Atlas into AI solutions allows enterprises using deepset's RAG and Agent capabilities to confidently manage and protect data, ensuring compliance and reliability while maintaining operational excellence.
Shaping the future of AI-powered innovation
The partnership between MongoDB and deepset is more than a collaboration—it's a driving force for innovation. By merging cutting-edge language processing capabilities with the robust, scalable infrastructure of MongoDB Atlas, this alliance is empowering organizations to create tomorrow's AI applications, today. Whether it’s intelligent chatbots, personalized platforms, or complex workflow automations, MongoDB and deepset are paving the way for businesses to unlock new levels of efficiency and insight.
At the core of this partnership is deepset’s advanced RAG and Agent technology, which enables efficient language processing and precise query resolution—essential components for developing sophisticated AI solutions. Complementing this is MongoDB’s reliable cloud database technology, providing unmatched scalability, fault tolerance, and the ability to effortlessly craft robust applications.
The seamless integration of these technologies offers developers a powerful toolkit to create applications that prioritize fast time to value, innovation, and precision. MongoDB’s infrastructure ensures security, reliability, and efficiency, freeing developers to focus their efforts on enhancing application functionality without worrying about foundational stability.
Through this strategic alliance, MongoDB and deepset are empowering developers to push the boundaries of intelligent application development. Together, they are delivering solutions that are not only highly responsive and innovative but also expertly balanced across security, reliability, and efficiency—meeting the demands of today’s dynamic markets with confidence.
Jumpstart your journey
Dive into deepset's comprehensive guide on RAG integration with MongoDB Atlas. Then get started with deepset Studio Edition (free) to start building. Transform your data experience and redefine the way you interact with information today!
Learn more about MongoDB and deepset's partnership through our partner ecosystem page.