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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3 Ways MongoDB EA Azure Arc Certification Serves Customers

One reason more than 50,000 customers across industries choose MongoDB is the freedom to run anywhere—across major cloud providers, on-premises in data centers, and in hybrid deployments. This is why MongoDB is always working to meet customers where they are. For example, many customers choose MongoDB Atlas (which is available in more than 115 cloud regions across major cloud providers) for a fully managed experience. Other customers choose MongoDB Enterprise Advanced (EA) to self-manage their database deployments to meet specific on-premises or hybrid requirements. To that end, we’re pleased to announce that MongoDB EA is one of the first certified Microsoft Azure Arc-enabled Kubernetes applications, which provides customers even more choice of where and how they run MongoDB. Customer adoption of Azure Arc has grown by leaps and bounds. This new certification, and the launch of MongoDB EA as an Arc-enabled Kubernetes application on Azure Marketplace , means that more customers will be able to leverage the unparalleled security, availability, durability, and performance of MongoDB across environments with the centralized management of their Kubernetes deployments. We are very excited to have MongoDB available for our customers on the Azure Marketplace. By extending Azure Arc’s management capabilities to your MongoDB deployments, customers gain the benefit of centralized governance, enhanced security, and deeper insights into database performance. Azure Arc makes hybrid database management with MongoDB efficient and consistent. Collaboration between MongoDB and Microsoft represents an opportunity for many of our customers to further accelerate their digital transformation when building enterprise-class solutions with Azure Arc. Christa St Pierre, Partner Group Manager, Azure Edge Devices, Microsoft Here are three ways the launch of MongoDB EA on Azure Marketplace for Arc-enabled Kubernetes applications gives customers greater flexibility. 1. MongoDB EA supports multi-Kubernetes cluster deployments, simplifies management MongoDB Enterprise Advanced seamlessly integrates market-leading MongoDB capabilities along with robust enterprise support and tools for self-managed deployments at any scale. This powerful solution includes advanced automation, comprehensive auditing, strong authentication, reliable backup, and insightful monitoring capabilities, all of which work together to ensure security compliance and operational efficiency for organizations of any size. The relationship between MongoDB and Kubernetes is one of strong synergy. With Kubernetes, MongoDB EA really can run anywhere, such as a single deployment spanning on-premises and more than one public cloud Kubernetes cluster. Customers can use the MongoDB Enterprise Kubernetes Operator, a key component of MongoDB Enterprise Advanced, to simplify the management and automation of self-managed MongoDB deployments in Kubernetes. This includes tasks like creating and updating deployments, managing backups, and integrating with various Kubernetes services. The ability of the MongoDB Enterprise Kubernetes Operator to deploy and manage MongoDB deployments that span multiple Kubernetes clusters significantly enhances resilience, improves disaster recovery, and minimizes latency by allowing data to be co-located closer to where it is needed, ensuring optimal performance and reliability. 2. Azure Arc complements MongoDB EA, providing centralized management While MongoDB Enterprise Advanced is already among a select group of databases capable of operating across multiple Kubernetes clusters , it is now also supported in Azure Arc-enabled Kubernetes environments. Azure Arc enables the standardized management of Kubernetes clusters across various environments—including in Azure, on-premises, and even other clouds—while harnessing the power of Azure services. Azure Arc accomplishes this by extending the Azure control plane to standardize security and governance across a wide range of resources and locations. For instance, organizations can centrally monitor all of the Azure Arc-enabled Kubernetes clusters using Azure Monitor for containers , or they can enforce threat protection at scale using Microsoft Defender for Kubernetes. This centralized control significantly reduces the complexity of managing Kubernetes clusters running anywhere, as customers can oversee all resources and apply consistent security and compliance policies across their hybrid environment. 3. Customers can leverage the resilience of MongoDB EA and the centralized governance of Azure Arc Together, these solutions empower organizations to build robust applications across a wide array of environments, whether on-premises or in multi-cloud settings. The combination of MongoDB Enterprise Advanced and the MongoDB Enterprise Operator simplifies the deployment of MongoDB across Kubernetes clusters, allowing organizations to fully leverage enhanced resilience and geographic distribution that surpasses the capabilities of a single Kubernetes cluster. Azure Arc further enhances this synergy by providing centralized management for all of these Kubernetes clusters, regardless of where they are running; for customers running entirely in the public cloud, we recommend using MongoDB’s fully managed developer data platform, MongoDB Atlas. If you’re interested in learning more, we invite you to explore the Azure Marketplace listing for MongoDB Enterprise Advanced for Arc-enabled Kubernetes applications. Please note that aside from use for evaluation and development purposes, this offering requires the purchase of a MongoDB Enterprise Advanced subscription. For licensing inquiries, we encourage you to reach out to MongoDB at https://www.mongodb.com/contact to secure your license and to begin harnessing the full potential of these powerful solutions.

November 19, 2024