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Octave Reliance builds secure multi-tenant AI foundation on Amazon Bedrock with Cohere Embed v4

Octave Reliance built a three-layer, multi-tenant AI foundation on Amazon Bedrock using Cohere Embed v4 to enable secure semantic search and reasoning over regulated documents. The design scopes vector stores, retrieval, and agent execution to tenant and user boundaries, embedded roughly 2 billion documents, and delivered a Complaint Triage Assistant in production while cutting per-use-case deployment time by about 50%.

KEY POINTS

  1. Octave Reliance built a three-layer, multi-tenant AI foundation on Amazon Bedrock using Cohere Embed v4 to enable secure semantic search and reasoning over regulated documents.
  2. The design scopes vector stores, retrieval, and agent execution to tenant and user boundaries, embedded roughly 2 billion documents, and delivered a Complaint Triage Assistant in production while cutting per-use-case deployment time by about 50%.
  3. Shows a concrete architecture for safely scaling LLM features in regulated, multi-tenant SaaS by combining model access, tenant-scoped storage, user-scoped agent permissions, and high-throughput embeddings.

WHY IT MATTERS

Shows a concrete architecture for safely scaling LLM features in regulated, multi-tenant SaaS by combining model access, tenant-scoped storage, user-scoped agent permissions, and high-throughput embeddings.

SOURCES & TIMELINE

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