Contact US

RIΛD

Verity on AWS (Bedrock + RAG Citation Framework)

Deploy secure, private Generative AI using Retrieval-Augmented Generation (RAG) to chat with your corporate data. Verity leverages Amazon Bedrock for LLM orchestration and OpenSearch/Kendra for semantic retrieval, ensuring every response is backed by a verifiable citation. Production-ready with enterprise guardrails in under 4 weeks.

AWS Control Tower landing zone with zero-trust API gateway and automated security remediation

CONTACT US

Who it's for

Organizations with vast internal knowledge bases (wikis, PDFs, docs) that require a secure, hallucination-free way to query private data without leaking IP to public models.

Sales Lifecycle

Discovery: identify data silos (S3, SharePoint, Confluence) and define query personas.
POC: single-source RAG implementation focusing on retrieval accuracy and citation logic
Pilot: internal departmental rollout to test prompt performance and user feedback loops.
Scale: enterprise-wide deployment with cross-departmental RBAC and cost monitoring.

Success Matrices

  • Hallucination rate ↓ < 2% with citations
  • Query response time < 3s SLOs met
  • Knowledge discovery MTTR reduction
  • Guardrail & PII filtration monitoring

Prerequisites

 Indexed data sources
Security boundaries
Knowledge taxonomy

Deliverables

  • RAG orchestration pipelines (code + IaC)
  • Semantic search & vector database setup
  • Customized Bedrock Guardrails (Safety/PII)
  • Conversational UI or API integration layer
Scroll to Top

Thank you for reaching out. A Cloud representative will be in touch with you!

Contact Us

We’d love to hear from you