Retrieval Augmented Generation (RAG) for Scalable Knowledge Access

Logic20/20’s Retrieval Augmented Generation (RAG) architecture transforms how organizations unlock insights from unstructured data. Built on Microsoft Azure, our RAG solution integrates retrieval and generative AI to deliver accurate, context-aware responses from large knowledge bases—without requiring exact search terms.

Using Azure services such as Azure AI Search, Azure OpenAI Service, Azure Blob Storage, and Azure Kubernetes Service (AKS), we help clients: • Reduce search time across massive datasets with natural language understanding • Improve team productivity by providing direct, relevant answers within enterprise systems • Scale knowledge access as data grows—without sacrificing performance or accuracy • Enable intelligent decision-making by surfacing high-value insights from siloed content

Our architecture is customizable, secure, and optimized for enterprise integration—designed to meet the needs of knowledge-heavy industries such as energy, financial services, and healthcare.