Implementation & Execution

The Corporate Knowledge Engine (RAG)

The Azure AI RAG Accelerator is a proprietary product designed to empower your enterprise with the cutting-edge capabilities of Generative AI, while maintaining complete data security and governance within your private Microsoft Azure environment.

Implementation & Execution

Corporate Knowledge Engine (RAG)

Azure AI RAG Accelerator. A proprietary product delivering secure, bespoke Generative AI capability, deployed at speed within your trusted Microsoft Azure environment.

Core Outputs
IaC (Infrastructure as Code) Scripts
Core Codebase
Documentation
Process
5 Weeks
Outcomes
Security, Speed & Scale
Deployment Readiness Ready
The Approach

A Comprehensive RAG Deployment Framework

We deliver a complete Azure AI RAG Accelerator solution through Infrastructure as Code, core codebase deployment, and comprehensive documentation, ensuring rapid deployment with enterprise-grade security.

Infrastructure as Code

Automated infrastructure deployment using proven IaC scripts for consistent, repeatable environments.

  • Automated Azure resource provisioning
  • Secure network and identity configuration
  • Scalable architecture templates

Core Codebase

Production-ready RAG implementation with vector databases, orchestration, and AI search capabilities.

  • Vector database and indexing implementation
  • RAG pipeline orchestration
  • Azure AI Search integration

Documentation

Comprehensive documentation ensuring smooth handover and ongoing maintenance.

  • Architecture and deployment guides
  • Operational runbooks and procedures
  • Knowledge transfer materials
What You Get

Complete RAG Accelerator Deliverables

At the end of the 5-week deployment, you receive a fully functional Azure AI RAG Accelerator with all components, scripts, and documentation needed for production operations.

01

IaC (Infrastructure as Code) Scripts

Complete Infrastructure as Code scripts for automated deployment of Azure resources, ensuring consistent, repeatable infrastructure provisioning and configuration management.

02

Core Codebase

Production-ready core codebase including vector database implementation, RAG pipeline orchestration, Azure AI Search integration, and all necessary components for knowledge retrieval and AI-powered search.

03

Documentation

Comprehensive documentation package including architecture guides, deployment procedures, operational runbooks, and knowledge transfer materials for seamless handover and ongoing maintenance.

Benefits

Why Choose The Azure AI RAG Accelerator?

Secure, bespoke Generative AI capability, deployed at speed within your trusted Microsoft Azure environment.

Security & Privacy

Complete data security and governance within your private Microsoft Azure environment, ensuring your sensitive information remains protected and compliant.

Rapid Time-to-Value

Accelerated deployment through proven frameworks and automated infrastructure, delivering production-ready RAG capabilities in just 5 weeks.

Microsoft Native

Built entirely on Microsoft Azure services, ensuring seamless integration with your existing Azure ecosystem and Microsoft technology stack.

Performance & Scalability

Enterprise-grade architecture designed for high performance and scalability, capable of handling growing knowledge bases and increasing query volumes.

Engagement Structure

Five Weeks To RAG Deployment

A structured deployment timeline taking you from initial setup through to fully operational Azure AI RAG Accelerator with complete documentation and handover.

1
Week 1 • Setup & Readiness

Project Kick-off & Preparation

Project kick-off, Azure tenancy review, access provisioning, and finalizing data source selection to establish the foundation for deployment.

2
Week 2 • Core Deployment

Infrastructure & Initial Deployment

Execution of IaC scripts, configuration of Azure OpenAI, and initial codebase deployment in Dev/Test environment to establish the core RAG infrastructure.

3
Week 3 • Integration & Tuning

Data Integration & Initial Optimisation

Secure data source connection, initial data ingestion and indexing, and RAG parameter tuning and optimisation to ensure optimal performance.

4
Week 4 • Integration & Tuning

Continued Optimisation & Refinement

Continued secure data source connection, advanced data ingestion and indexing, and further RAG parameter tuning and optimisation for production readiness.

5
Week 5 • UAT & Handoff

Testing, Documentation & Knowledge Transfer

User Acceptance Testing (UAT) with key stakeholders, final documentation completion, and knowledge transfer and training to ensure smooth operational handover.

RAG Accelerator Deployed
Value & Confidence

Measurable Deployment Outcomes

The Azure AI RAG Accelerator delivers rapid deployment, enterprise security, and scalable performance within your trusted Microsoft Azure environment.

0 Weeks
Rapid Deployment

Accelerate your RAG deployment with a proven, structured framework.

0%
Azure Native

Built entirely on Microsoft Azure for seamless integration.

0Enterprise
Security & Governance

Complete data security and governance within your private Azure environment.

Powered by Orion's Azure AI RAG Accelerator templates and proprietary deployment framework.
Powered By

Microsoft Technology Stack

We leverage the Microsoft Azure AI platform so that your RAG deployment is grounded in proven, enterprise-grade capabilities.

Azure OpenAI
Azure AI Search
Azure Vector Stores
Azure Infrastructure
Azure Security
Infrastructure as Code
Azure Networking
Azure Identity
Azure Monitor
Azure Application Insights
Microsoft Fabric
Azure AI Services
Azure OpenAI
Azure AI Search
Azure Vector Stores
Azure Infrastructure
Azure Security
Infrastructure as Code
Azure Networking
Azure Identity
Azure Monitor
Azure Application Insights
Microsoft Fabric
Azure AI Services
Get Started

Ready to Deploy Your Corporate Knowledge Engine?

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Let our expert team help you rapidly deploy a secure, enterprise-grade Azure AI RAG Accelerator within your Microsoft Azure environment. Contact us today to begin your 5-week deployment journey.

Start Your RAG Deployment
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