Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
A low-code automation platform trusted by Autodesk and Roku allows companies to build autonomous agents for sales and customer support tasks without coding.
Surging demand on the platform exposed bottlenecks in the in-house vector database, causing search latencies of two seconds. These delays prevented...
“Every millisecond counts, and slow vector searches were limiting our AI agents from delivering instant, accurate responses.”
Relevance AI's Sales and support automation is part of this use case:
Low-code platform for building and managing autonomous AI agents and workforces.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Complex tool calls broke earlier models. Claude now navigates nested data, enabling agents to drive 3-5x productivity gains for clients.
Previous AI failed 30% of handoffs. Claude now chains API calls to autonomously schedule and process payments without human verification.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Two-second search lags bottlenecked AI. Cutting retrieval to 10ms enabled fully autonomous sales outreach and CRM updates.
A low-code automation platform trusted by Autodesk and Roku allows companies to build autonomous agents for sales and customer support tasks without coding.
Surging demand on the platform exposed bottlenecks in the in-house vector database, causing search latencies of two seconds. These delays prevented...
“Every millisecond counts, and slow vector searches were limiting our AI agents from delivering instant, accurate responses.”
Relevance AI's Sales and support automation is part of this use case:
Low-code platform for building and managing autonomous AI agents and workforces.
In-memory data platform for real-time applications, caching, and vector search.
Related implementations across industries and use cases
Daily updates delayed new content. A unified database now runs twice-daily refreshes with zero downtime.
Sifting 400M records stalled sales. AI agents now query 40 sources instantly to push prioritized leads directly into CRM.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Complex tool calls broke earlier models. Claude now navigates nested data, enabling agents to drive 3-5x productivity gains for clients.
Previous AI failed 30% of handoffs. Claude now chains API calls to autonomously schedule and process payments without human verification.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Accountants manually scoured mailboxes to assemble 15 subsidiary workbooks. Now, staff-built AI agents pull invoice data for instant review.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.