A separate vector DB failed performance benchmarks. Consolidating on one platform scaled daily processing from 200k to 1 billion tokens.
A no-code automation platform enables clients ranging from tech startups to Fortune 500 companies to build customized AI agent workforces.
The company's proprietary NoSQL platform lacked the vector search capabilities required to handle growing volumes of unstructured data. Attempting to...
“We’re a team of 30 people looking to build the automations that we truly believe are set to power next-generation companies. We want companies to only be limited by the size of their ideas, not the size of their teams.”
Relevance AI's AI agent platform is part of this use case:
Low-code platform for building and managing autonomous AI agents and workforces.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
Relational databases bottlenecked AI coding agents in schema migration loops. A document database lets agents adapt schemas on the fly.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
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.
A separate vector DB failed performance benchmarks. Consolidating on one platform scaled daily processing from 200k to 1 billion tokens.
A no-code automation platform enables clients ranging from tech startups to Fortune 500 companies to build customized AI agent workforces.
The company's proprietary NoSQL platform lacked the vector search capabilities required to handle growing volumes of unstructured data. Attempting to...
“We’re a team of 30 people looking to build the automations that we truly believe are set to power next-generation companies. We want companies to only be limited by the size of their ideas, not the size of their teams.”
Relevance AI's AI agent platform is part of this use case:
Low-code platform for building and managing autonomous AI agents and workforces.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
Relational databases bottlenecked AI coding agents in schema migration loops. A document database lets agents adapt schemas on the fly.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Rigid data silos slowed engineering. A unified vector foundation now powers AI agents, accelerating development velocity 4x.
Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
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.