SAP Commerce Consulting for High-Performance, Modern Digital Commerce

We’ve expanded our mission from solving SAP Commerce problems to helping you grow your career, modernize your codebase, and stay relevant in an AI-powered future.

From legacy Hybris code to cloud-native, headless, and AI-enhanced architectures — we help you unlock the full potential of SAP Commerce.

How We Help Our Clients

  • Modernize legacy SAP Commerce implementations with scalable, cloud-native architecture
  • Improve Lighthouse scores and Core Web Vitals through Spartacus optimization
  • Enhance Solr with AI-powered semantic search for faster, smarter product discovery
  • Migrate to Composable Storefront (Spartacus) and CCv2 with confidence
  • Implement best practices for DevOps, caching, and CI/CD pipelines
  • Integrate leading headless solutions into your SAP Commerce stack

    • Interested in learning more?Contact us at info@hybrisarchitect.com

    What You’ll Find on HybrisArchitect.com

    We publish expert articles and practical tutorials to help you architect, customize, and optimize your SAP Commerce implementation. Whether you're modernizing your tech stack or improving site performance, we offer the insights and tools you need to succeed.

    SAP Commerce Cloud (Hybris) Articles & Tutorials

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    Activating Solr’s Untapped Potential for AI-Powered Commerce Search

    In the shift toward AI-native and intent-driven search, many teams assume they must replace Apache Solr to stay modern. Solr has supported vector search for years through features like DenseVectorField and HNSW-based approximate nearest neighbor (ANN) search. These capabilities are stable, battle-tested, and available today. However, in the SAP Commerce ecosystem, they remain largely untapped. At HybrisArchitect.com, we’ve developed a production-ready semantic search solution that demonstrates how Solr, when combined with OpenAI embeddings and a flexible orchestration layer, can power intelligent, next-generation search experiences—without requiring a full search stack replacement. Try It Live: Solr Semantic Search Demo semanticsearch.hybrisarchitect.com/solr-semantic-search.html Our live …

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    Replacing Solr with AI: The Power of Semantic Search in SAP Commerce

    Introduction As e-commerce evolves, so do user expectations. Today’s customers want more than keyword-based results—they expect intuitive, natural, and personalized product discovery. Traditional search tools like Apache Solr, while dependable, fall short in understanding what users actually mean. That’s why we’ve launched a live beta version of a new Semantic Search experience:    semanticsearch.hybrisarchitect.com This beta site completely replaces Solr with an AI-powered search engine designed to understand natural language and deliver results based on intent, not just matching words. Try it with queries like: Show me all digital cameras under 500 dollars Show me all digital cameras under 500 …

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    Rethinking SAP Commerce Search: From Solr to AI-Driven Discovery

    Article 1 Title: Why Solr Is No Longer Enough for Modern Commerce Search Introduction I had the opportunity to create a search engine using Retrieval-Augmented Generation (RAG) with OpenAI and in-memory vector datastore. To say that I was impressed is an understatement. I realized that every developer now has the power to build advanced search capabilities tailored to their organization’s needs without relying on legacy keyword search engines. For over a decade, Apache Solr has been the backbone of search functionality in SAP Commerce (Hybris). It excels at keyword indexing, faceted navigation, and performance at scale. But in the age …