Sold by: Cybage Software Inc.
This service helps organizations assess their existing enterprise systems for generative AI readiness and design a scalable, reusable AWS architecture that supports enterprise-wide GenAI initiatives.
Overview
Cybage designs advanced Retrieval-Augmented Generation (RAG) architectures within AWS, focusing on role-based access control, and security. We tailor our solutions to incorporate robust RBAC, security, and governance mechanisms, ensuring compliance with organizational policies. By implementing standardized AWS reference architectures, we help organizations create reusable GenAI foundations, benefiting multiple teams, expanding use cases, and supporting future growth efficiently.
Highlights
- Assessment of enterprise systems and data sources for GenAI readiness. Design of scalable and reusable RAG architectures on AWS.
- RBAC for secure and controlled access. Architecture patterns aligned to enterprise Non-Functional Requirements (NFRs), such as scalability, reliability, and security.
- Extensible design using protocols like MCP to support future innovation on AWS. Integration with AWS services like Amazon Kendra, SageMaker, and Bedrock for advanced knowledge retrieval and management.
Details
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Pricing
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Support
Vendor support
Reach out to us mailto:business@cybage.com
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