Many digital asset systems and platforms like Adobe Commerce rely on search systems like Elasticsearch. These search engines prioritize relevance over exact matches. If your 188 results feel cluttered or irrelevant, utilizing quotation marks (e.g., "Photoshop" ) will force the engine to yield strict, exact-match results.
According to perspectives shared on the Adobe Blog , the future of asset searching involves combining machine learning with visual intent. Rather than browsing through 188 static images of a subject, AI engines now allow creators to text-prompt adjustments or synthesize brand-new graphics directly from the search bar. Search results for photoshop (188)
Users on the Adobe Community Forums have previously noted instances where the first page of massive asset searches loads perfectly, but proceeding to subsequent pages results in a "Sorry no results were found" error. This has historically been traced back to strict local antivirus firewalls (like Kaspersky) blocking subsequent script calls. Many digital asset systems and platforms like Adobe
When dealing with exactly 188 results for a broad or specific search query, the primary challenge is relevance. According to perspectives shared on the Adobe Blog