Phil Lewis

2 results

Powering Vector Search Maturity in Retail with Pureinsights

In a competitive retail market, with customer demands higher than ever, retailers are on a constant journey toward search maturity. With the recent announcement of MongoDB’s Vector Search offering , retailers are implementing smarter search solutions to provide customers and staff with delightful experiences. Here we’ll explore how partners like Pureinsights are helping retailers to understand what true search maturity entails, and how to start their vector search journey on MongoDB Atlas. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. How MongoDB Partners Like Pureinsights Can Help Search and AI application specialists like Pureinsights can shorten the planning and development cycle, bring applications to production faster, and accelerate time to value for the customer. The Architecture of Vector Search Applications Virtually every Vector Search application will follow the basic logical flow illustrated below. A Client creates a complex query, which is then submitted to an encoder. The encoder turns the query into a Vector and submits it to the Vector Search Engine. The Vector Search engine searches the Vector Database and returns results, which are then formulated and returned to the Client for presentation. A complete Vector Search application includes all of the elements in this diagram, but not all of them are currently provided in the MongoDB Atlas platform. Everything to the left of the Vector Search Engine has to be developed by someone. MongoDB provides the vector store and a means to search it, but someone has to build the client and logic for the complete application. Why Involve Pureinsights to build your Vector Search applications? Pureinsights is a MongoDB BSI partner and has extensive knowledge and expertise in helping customers accelerate time-to-production of premier search applications. Pureinsights specializes in search applications and provides services to build end-to-end vector search solutions, including solutions to create and populate MongoDB Vector Search and UI/Client to search MongoDB Atlas using Atlas Search and Atlas Vector Search. Customers can focus on their core business while we do the development. Pureinsights Search Maturity Matrix – A Roadmap for Better Search, including Vector Search All of the use cases we discussed – e-commerce search, AI-powered search for support, and product information/reviews are advanced search features for Retail. But it’s always best to walk before you run, so before implementing Vector Search, a good strategy is to make sure your current applications have been optimized. Pureinsights methodology for search applications includes analyzing the state of current applications using a Search Maturity Matrix. Pureinsights - Design, Build, and Manage After mapping out their journey to build out advanced search capabilities for their retail applications, Pureinsights can help customers build the applications on the MongoDB Atlas Platform from design, to build, to operations. Application Design and Architecture: A well-defined plan is the key to efficient application development. Pureinsights with their immense experience can help with complex design decisions, such as choosing the right AI models and creating the best architecture for performance and security. Application Build: With over 20 years of experience in search, Pureinsights can help you build and deploy your Atlas Search application quickly and efficiently. Pureinsights has developed methodologies and frameworks like the Pureinsights Discovery Platform, which work with AI technologies (e.g., ChatGPT) and integrate with the Atlas platform to reduce development time and accelerate time to production. Managed services: Pureinsights can even run your search application for you with our SearchOps and maintain it for optimum performance with their fully managed service so you can focus on your core business. Conclusion Pureinsights can help customers overcome the challenges of building vector search applications and accelerate the time to production. With their expertise in application design, build, and managed services, Pureinsights can help customers build and deploy next-generation vector search applications that deliver real business value. Is your e-commerce store ready for AI? And are your products as easy to find as your competitors? Modern consumer expect flawless search experiences in mobile and online e-commerce search. Join MongoDB and Pureinsights on Tuesday, January 23, at 1pm ET for an insightful new webinar hosted by Digital Commerce 360 to learn: What is the search Maturity Matrix, and which capabilities are your organization missing to achieve better results How retailers are building smarter search applications with AI What's possible with MongoDB's new Vector Search offering Related resources: Modernize E-commerce Customer Experiences with MongoDB | MongoDB Atlas Vector Search | MongoDB MongoDB Atlas for Retail: Driving Innovation from Supply Chain to Checkout | MongoDB MongoDB Atlas Search for Retail: Go Beyond the E-commerce Store | MongoDB

December 14, 2023

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: Migration: Help with migrating a legacy search system such as Elasticsearch, Solr or MarkLogic to Atlas Search. 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. 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. 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. 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. 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 MongoDB Consulting and Implementation Services White Paper: Search is more than software Pureinsights Discovery Platform – Online

April 17, 2023