This release introduces powerful enhancements to the Hawk platform, bringing smarter AI tools, faster and more reliable search performance, and a refreshed user experience. Our focus this cycle has been on unifying the Hawk AI experience, improving search precision, and strengthening the stability and responsiveness of the system. These updates are designed to make your search and optimization workflows more intuitive, more accurate, and more resilient than ever.

Release Highlights

Hawk AI Redesign – A brand-new, unified Hawk AI hub brings all AI-driven capabilities together under one navigation point. The redesigned interface introduces tabs for Smart Search and Smart Tools, along with interactive action cards for features such as Concept Search, Visual Search, and AI Multiplier.

• Visual Search Enhancements – You can now initiate searches directly from images, expanding how users discover and connect with content visually.
• Optimized Search APIs – Introduced new endpoints for faster catalog and facet retrieval, greatly improving performance and responsiveness for integrated systems.
• Improved Search Logging & Monitoring – Added POST body logging with system parameter toggles, giving administrators greater visibility and traceability for search requests.
• Enhanced Multilingual Search – Expanded support for non-English languages, improving matching accuracy for Chinese queries and mixed-language content.
• Unified Navigation Experience – HawkSearch and Spark navigation are now seamlessly aligned, simplifying how users move between analytics, AI, and configuration tools.
• Dashboard Improvements – The Workbench has been updated with improved image resolution and layout consistency, along with clearer visibility for hierarchy and mapping APIs.
• Support Hub Integration – A new link to the updated Support Hub makes it easier than ever to access documentation, FAQs, and contact resources directly from the platform.

Stability & Performance Updates

We’ve also made substantial backend improvements to increase platform reliability and reduce latency:

• Resolved intermittent timeout and connector issues under heavy load.
• Improved handling of malformed URLs and payloads to prevent user-visible errors.
• Optimized date range validation logic to ensure accurate filter behavior.
• Strengthened import stability to eliminate StackOverflow exceptions.
• Corrected database tracking logic to prevent invalid identifier errors.
• Added support for .JFIF image formats in Smart Search uploads.

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If you have any questions or feedback about this release, please contact us at

[email protected]

Until next time,

The HawkSearch Team