Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
One of the world's most widely used AI image and video generation platforms, with 8 million creators building characters and narratives where every past generation becomes reference material for future scenes.
By the time the creator library exceeded several hundred million vectors, Elasticsearch's log-data lifecycle policy had aged most of the corpus to...
“Creators don't make one image and leave. They build a character, a world, a story, and everything they've ever generated becomes material for the next scene. Zilliz Cloud lets us treat that whole library as one creative memory.”
AI creation platform for generating and editing images, videos, and audio.
Vector database platform for building and scaling AI applications.
OpenArt's Asset search is part of this use case:
Related implementations across industries and use cases
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Elasticsearch treated creator vectors like log data, aging 400M+ to frozen storage, pushing search to 25s. A vector-native store fixed it.
One of the world's most widely used AI image and video generation platforms, with 8 million creators building characters and narratives where every past generation becomes reference material for future scenes.
By the time the creator library exceeded several hundred million vectors, Elasticsearch's log-data lifecycle policy had aged most of the corpus to...
“Creators don't make one image and leave. They build a character, a world, a story, and everything they've ever generated becomes material for the next scene. Zilliz Cloud lets us treat that whole library as one creative memory.”
AI creation platform for generating and editing images, videos, and audio.
Vector database platform for building and scaling AI applications.
OpenArt's Asset search is part of this use case:
Related implementations across industries and use cases
Messy ingredient data broke text search, capping matches at 20%. AI semantic search now maps free-form inputs to unlock recipe imports.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Search lagged over 1s during homework spikes. Moving to Zilliz Cloud cut latency 70%, delivering answers 5x faster.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Per-image APIs were too costly for massive upload volumes. Meta's AI now isolates complex items, like white sneakers against white walls.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.