CASE STUDY — CROSS-INDUSTRY
Self-service RAGs
Build Your Own RAG with Secure and Scalable Access
Sector:
Cross-industry
Focus:
Self-Service RAG Platform
BUSINESS CHALLENGE
Why teams need a self-service RAG platform
Generate insights and retrieve relevant information from large volumes of company data without relying on IT support. The process of accessing and combining data was complex and requiring technical expertise to perform querying, integration, and contextual output generation.
SOLUTION IMPLEMENTED
How the self-service RAG platform works
Implemented a web administration platform allowing users to create their own RAGs from multiple and existing data sources. The solution offers a user-friendly interface to configure access controls and security settings, ensuring that only authorized users can view or edit specific RAGs.
TECHNOLOGY
Built to scale, deploy, and power self-service RAG creation
DATA PLATFORM
Azure Kubernetes Service
Ensures platform scalability and high availability by efficiently managing containerized applications across the platform.
SERVING
Azure Functions & Container Registry
Supports rapid application deployment and automated version management for seamless updates across environments.
INTEGRATION
Azure AI Search & Azure OpenAI Service
Improves data retrieval and contextual content generation by leveraging advanced AI capabilities across all sources.
Results & ROI
What changed once the platform went live
COST SAVINGS
Reduced IT workload by enabling self-service RAG generation across teams.
AGILITY
Accelerated data-driven decision-making with on-demand RAG creation.
COLLABORATION
Enabled secure knowledge sharing, promoting collaboration and insight accessibility.
