Search slowed to 1000ms as transcripts hit 30M hours. Migrating the vector engine cut latency to 100ms—10x faster.
A meeting transcription platform serving 10 million global users and processing over 30 million hours of audio across 58 languages.
As the platform scaled to 30 million hours of transcription, the legacy vector search index hosted on a public cloud provider hit severe performance...
“The evolution of meeting productivity follows three waves of information density improvement: speech-to-text conversion, AI-powered summarization, and now, contextual retrieval with insights. With Zilliz Cloud powering our vector search capabilities, we've been able to make this a reality for our customers, delivering contextual intelligence at the speed users expect.”
AI transcription and meeting productivity tool for audio and video content.
Vector database platform for building and scaling AI applications.
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One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
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Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.