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Augmented Search on Jahia 8

Augmented Search provides your website visitors with a modern search experience. Visitors will benefit from instant search, facets (term, range), filters, fuzzy search, sorting, and most importantly, greater search relevance.

Based on Elasticsearch, augmented search can easily scale when your website traffic reaches its peaks. Augmented search can be content and page-based depending on your needs, and is fully compatible with Jahia advanced features such as preview, publication, permissions, visibility rules, and more.

What the video shows

The video presents a real-world implementation of enterprise search within a complex public-sector environment using a Digital Experience Platform.

It highlights:

  • A large-scale ecosystem with thousands of users, applications, and data sources requiring fast and reliable search
  • The integration of a search module based on Elasticsearch to deliver instant, dynamic, and multi-source results
  • A scalable architecture with a dedicated search infrastructure separated from the core platform
  • A customizable front-end experience built with modern frameworks while leveraging existing backend logic
  • A progressive deployment strategy across multiple websites to replace legacy search capabilities

The video also showcases continuous improvements, including bug fixes, feature enhancements, and evolving search capabilities

Why it matters

This implementation demonstrates how modern search can significantly improve user experience and system performance at scale.

It enables organizations to:

  • Deliver fast, relevant, and dynamic search results across large and complex data environments
  • Improve user satisfaction through real-time filtering, faceted navigation, and typo-tolerant search
  • Scale independently by decoupling search infrastructure from core application systems
  • Reduce technical complexity on the front-end while maintaining flexibility and customization
  • Continuously improve search capabilities through iterative development and user feedback

By adopting a modular and scalable search approach, organizations can modernize their digital platforms while optimizing performance, costs, and user experience.