Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
A productivity AI platform serves millions of users by processing billions of conversation events across disparate tools like Zoom, Slack, and Salesforce.
Rapid growth demanded near-real-time retrieval across billions of records, but existing vector databases lacked the multi-tenancy support required...
“We've got millions of monthly active users and all of the underlying data when we're trying to go find related conversations, find updates to an action item, find referenced documents...Milvus serves as the central repository and powers our information retrieval among billions of records.”
AI copilot for meeting summaries, transcripts, and enterprise search across workflows.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Legacy tools choked on billions of records. A central vector store now unifies fragmented apps for 5x faster, context-aware search.
A productivity AI platform serves millions of users by processing billions of conversation events across disparate tools like Zoom, Slack, and Salesforce.
Rapid growth demanded near-real-time retrieval across billions of records, but existing vector databases lacked the multi-tenancy support required...
“We've got millions of monthly active users and all of the underlying data when we're trying to go find related conversations, find updates to an action item, find referenced documents...Milvus serves as the central repository and powers our information retrieval among billions of records.”
AI copilot for meeting summaries, transcripts, and enterprise search across workflows.
Vector database platform for building and scaling AI applications.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Query spikes choked the old matcher. Zilliz Cloud cut latency to 50ms for 2M daily searches, enabling growth to 100k users.
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Summarizing answers took 14 seconds. Small language models cut that to 4 seconds and reduced costs by 4.2x.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.