Search Modernization with Pureinsights and MongoDB Atlas Search

Phil Lewis and Kamran Khan

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