RAG Databases 101: How to Build a Secure Knowledge Layer for AI in Microsoft 365
How to build a secure Retrieval-Augmented Generation (RAG) database specifically within the Microsoft 365 environment, detailing the architecture needed to enable intelligent and accurate AI responses using proprietary business data. It explains that RAG systems convert text into vector embeddings to allow AI models like Copilot to access internal documents while maintaining existing security permissions and mitigating issues like "hallucinations." The document outlines the technical components required, such as vector databases and appropriate chunking strategies, and emphasizes critical implementation factors like identity integration, data compliance, and performance optimization. Finally, the text transitions into a promotional section, describing how the company Technijian offers consulting and managed services to help organizations implement these complex, secure RAG solutions within their Microsoft 365 ecosystems. ... Read More
