Knowledge Base

Knowledge Base is a structured repository—articles, FAQs, manuals, and data tables—designed for quick retrieval by humans or AI systems. Content is tagged with metadata (title, category, author, date) and often indexed in a vector database so large-language-model workflows can perform semantic search. In Retrieval-Augmented Generation (RAG), a query fetches top-k passages from the knowledge base, grounding the model’s response in authoritative sources and reducing hallucinations. Authoring tools enforce version control, approval workflows, and Markdown or HTML formatting, while analytics track view counts and deflection rates. Successful knowledge bases follow a “single source of truth” philosophy, embedding images, code snippets, and step-by-step procedures to cut support tickets and onboard employees faster. Security layers—role-based access, PII redaction, and audit logs—keep proprietary information safe yet discoverable.