Octave builds multi-tenant AI search foundation on Amazon Bedrock
Overview
Octave Reliance built a three-layer AI foundation on Amazon Bedrock to search regulated quality records across tenants without cross-tenant data exposure, according to an AWS Machine Learning Blog post.
The architecture uses Cohere Embed v4 for embeddings, per-tenant vector stores on Amazon OpenSearch Service, and AgentCore Gateway with Bedrock Guardrails for input and output filtering.
The source says the foundation has cut deployment time per use case by 50 percent and embedded 2 billion documents. The post also says Cohere Embed v4 on Amazon Bedrock won on five counts, though the report does not list them.
Written by AI from the articles below · updated Oct 20, 1:53 PM ET
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- AWS Machine Learning BlogOfficialOctave builds a secure multi-tenant AI foundation on Amazon Bedrock
AIOctave Reliance built a three-layer AI foundation on Amazon Bedrock to search regulated quality records across tenants without cross-tenant data exposure. The architecture uses Cohere Embed v4 for embeddings, per-tenant vector stores on Amazon OpenSearch Service, and AgentCore Gateway with Bedrock Guardrails for input and output filtering. The source says the foundation has cut deployment time per use case by 50 percent and embedded 2 billion documents.
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