Search Modernization with Pureinsights and MongoDB Atlas Search

Search engines have transformed in recent years from basic tools used for retrieving data within an organization, searching product catalogs and ecommerce sites, to astonishing cognitive search tools. Cognitive search combines traditional search with knowledge graph and advanced AI technologies like natural language processing (NLP) and machine learning (ML). These technologies provide powerful search and discovery experiences for workplaces, ecommerce platforms, customer support, websites, or any applications where people are looking for information.

Together with Pureinsights, MongoDB Atlas Search helps builders and developers achieve their moonshots for AI-enabled search technologies. Read this blog to learn how MongoDB’s partnership with Pureinsights is bringing futuristic search capabilities to businesses and agencies around the world.

MongoDB Atlas Search + Pureinsights Discovery Platform

The Pureinsights Discovery Platform™ (PDP) enhances traditional search engines and enables a ‘Google-like’ search experience. Built from best-in-class components and services, it uses a modern cloud-based architecture, and incorporates data connectors, content processing, AI services, a search engine (MongoDB Atlas Search) and knowledge graph.

The AI services can include ML, modern transform models and large language models (LLMs). Used together these tools can provide powerful features such as: natural language queries, question answering and vector search/extractive answers. These features go way beyond what a typical enterprise search engine provides, enabling organizations to give their people the search experience they now expect.

PDP also enables developers to ingest content and then process and enrich it to enhance search capabilities. PDP also provides tools to understand the intent of a user’s query so that we can deliver the most relevant, personalized and actionable search results.

Six ways Pureinsights unleashes the full potential of MongoDB Atlas Search

Pureinsights have been working with MongoDB to help clients realize the full potential of Atlas Search. Here is a selection of our search capabilities:

  1. Migration: Help with migrating a legacy search system such as Elasticsearch, Solr or MarkLogic to Atlas Search.

  2. Application build: Search applications can be complex and difficult to implement. Pureinsights can help you design, build and deploy your Atlas Search application and then work with you to maintain its performance.

  3. Modernization: We can use PDP to integrate AI technologies (e.g. ChatGPT) with Atlas Search to enable cognitive search features such as natural language queries, question answering and extractive answers.

  4. Relevancy tuning: Our expertise in search relevancy tuning and search engine scoring helps you develop a repeatable process to continually improve search engine results and relevancy. This proven methodology has helped our clients deliver optimized search experiences.

  5. Data engineering and transformation: Search application results are data-driven. Pureinsights can help you with data transformation, migration and enrichment to ensure the best possible search experience for your users.

  6. Managed services: And finally we can even run your search application for you with our SearchOps fully managed service so you can focus on your core business.

Next steps

Whether you are evaluating MongoDB Atlas or MongoDB Atlas Search, or ready to implement a solution Pureinsights can ensure that your project meets your technical and business goals. If you are already using MongoDB Atlas, then the decision to use Atlas Search should be an easy one. And if you have a separate search system then let us help you migrate to Atlas Search, for Pureinsights, it’s a well-trodden path.

Pureinsights has certified MongoDB engineers who use best practice Agile and Lean principles to deliver successful projects. We can also assist you in realizing the full potential of your existing Atlas Search application or even take you beyond search by utilizing knowledge graphs, ML, and more to develop enterprise search applications that better understand user intent and deliver the information users require.

Additional resources

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What's New in Atlas Charts: Schedule Dashboard Reports to Share Data with Your Team

Today, we’re introducing an exciting feature addition for teams using Atlas Charts . Charts project owners can now schedule dashboard reports to be sent via email to keep team members informed about key data. This feature has been heavily requested by some of our largest users as there are many use cases where dashboards may be valuable to your team, but you don’t necessarily want to require anyone to do extra work to access and view data. Enter scheduled dashboard reports in Atlas Charts! In any dashboard that your team relies on for regular data review, simply schedule a dashboard report. The new Schedule button can be found at the top right of the dashboard screen: Once you’ve chosen a dashboard from which to create a report, you will see a variety of options letting you customize the content and frequency of your report before you schedule. A report requires basic fields like a name or subject line, recipient list, and optionally, a message for the body of the email. In addition to a link to the dashboard in Charts, you can choose whether to attach an image or PDF for quick reference in the message itself. Finally, you can set a schedule of daily, weekly, monthly, or quarterly delivery. You can also simply send a single email if you have a one-time need to share a report. And once you’ve set everything up, your email will be sent on your defined schedule. As you use scheduled dashboard reports more and more, we created a Reports page where you can manage all reports in your project. Note that if you’re on an free tier, you can try one scheduled report. If you’re on an M2 cluster or higher, you can create up to 100 reports per project. To learn more, please check out our documentation . We’re always listening to feature requests that will enhance using Charts across teams, so if you have any requests or feedback, please share them with us here . Log in to Atlas Charts today to schedule your first report! If you’re new to Atlas Charts, get started today by logging into or signing up for MongoDB Atlas.

April 13, 2023
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MongoDB’s 2024 Year in Review

It’s hard to believe that another year is almost over! 2024 was a transformative year for MongoDB, and it was marked by both innovation and releases that further our commitment to empowering customers, developers, and partners worldwide. So without further ado, let’s dive into MongoDB’s 2024 highlights. We’ll also share our executive team’s predictions of what 2025 might have in store. A look back at 2024 MongoDB 8.0: The most performant version of MongoDB ever In October we released MongoDB 8.0 , the fastest, most resilient, secure, and reliable version of MongoDB yet. Architectural optimizations in MongoDB 8.0 have significantly improved the database’s performance, with 36% faster reads and 59% higher throughput for updates. Our new architecture also makes horizontal scaling cheaper and faster. Finally, working with encrypted data is easier than ever, thanks to the addition of range queries in Queryable Encryption (which allows customers to encrypt, store, and perform queries directly on data). Whether you’re a startup building your first app, or you’re a global enterprise managing mission-critical workloads, MongoDB 8.0 offers unmatched power and flexibility, solidifying MongoDB’s place as the world’s most popular document database. Learn more about what makes 8.0 the best version of MongoDB ever on the MongoDB 8.0 page . Delivering customer value with the MongoDB AI Applications Program AI applications have become a cornerstone of modern software, and MongoDB is committed to equipping customers with the technology, tools, and support they need to succeed on their AI journey. That’s why we launched the MongoDB AI Applications Program (MAAP) in 2024, a comprehensive program designed to accelerate the development of AI applications. By offering customers resources like access to AI specialists, an ecosystem of leading AI and tech companies, and AI architectural best practices supported by integrated services, MAAP helps solve customers’ most pressing business challenges, unlocks competitive advantages, and accelerates time to value for AI investments. Overall, MAAP’s aim is to set customers on the path to AI success. Visit the MongoDB AI Applications Program page or watch our session from AWS re:Invent to learn more! Advancing AI with MongoDB Atlas Vector Search In 2024, MongoDB further cemented its role in the AI space with enhancements to MongoDB Atlas Vector Search . Recognized in 2024 (for the second consecutive year!) as one of the most loved vector databases , MongoDB continues to provide a scalable, unified, and secure platform for building cutting-edge AI use cases. Recent advancements like vector quantization in Atlas Vector Search help deliver even more value to our customers, enabling them to scale applications to billions of vectors at a lower cost. Head over to our Atlas Vector Search quick start guide to get started with Atlas Vector Search today, or visit our AI resources hub to learn more about how MongoDB can power AI applications. Search Nodes: Performance at scale Search functionality is indispensable in modern applications, and with Atlas Search Nodes, organizations can now optimize their search workloads like never before. By providing dedicated infrastructure for Atlas Search and Vector Search workloads, Search Nodes ensure high performance (e.g., a 40–60% decrease in query times), scalability, and reliability, even for the most demanding use cases. As of this year , Search Nodes are generally available across AWS, Google Cloud, and Microsoft Azure. This milestone underscores MongoDB’s commitment to delivering powerful solutions that scale alongside our customers’ needs. To learn more about Search Nodes, check out our documentation or watch our tutorial . Looking ahead: MongoDB’s 2025 predictions After the excitement of the past few years, 2025 will be defined by ensuring that technology investments deliver tangible value. Organizations remain excited about the potential AI and emerging technologies hold to solve real business challenges, but are increasingly focused on maintaining a return on investment. “Enterprises need to innovate faster than ever, but speed is no longer the only measure of success. Increasingly, organizations are laser-focused on ensuring that their technology investments directly address critical business challenges and provide clear ROI and competitive advantage—whether it’s optimizing supply chains, delivering hyper-personalized customer experiences, or scaling operations efficiently,” said Sahir Azam, Chief Product Officer at MongoDB. “In 2025, I expect to see organizations make significant strides in driving this innovation and efficiency by applying AI to more production use cases and by maturing the way they leverage their data to build compelling and differentiated customer experiences.” Indeed, we expect to see organizations make more strategic investments in emerging technologies like gen AI—innovating with a sharp focus on solving business challenges. “In 2025, we can expect the focus to shift from ‘what AI can do’ to ‘what AI should do,’ moving beyond the hype to a clearer understanding of where AI can provide real value and where human judgment is still irreplaceable,” said Tara Hernandez, VP of Developer Productivity at MongoDB. “As we advance, I think we’ll see organizations begin to adopt more selective, careful applications of AI, particularly in areas where stakes are high, such as healthcare, finance, and public safety. A refined approach to AI development will be essential—not only for producing quality results but also to build trust, ensuring these tools genuinely support human goals rather than undermining them.” With more capable, accessible application development tools and customer-focused programs like MAAP at developers’ fingertips, 2025 is an opportunity to make a data-driven impact faster than ever before. "Right now, organizations have an opportunity to leverage their data to reimagine how they do business, to more effectively adapt to a changing world, and to revolutionize our quality of life,” said Andrew Davidson, SVP of Products at MongoDB. “By harnessing our latest technologies, developers can build a foundation for a transformative future." Head over to our updates page to learn more about the new releases and updates from MongoDB in 2024. Keep an eye on our events page to learn what's to come from MongoDB in 2025!

December 19, 2024