ai-rag-brand-knowledge-base

What problem does it solve?

This skill enables teams to build client-specific Retrieval-Augmented Generation (RAG) knowledge bases that keep AI outputs on-brand and grounded in client documents.

Core Features & Use Cases

• Centralized, brand-aligned document library for AI context across multiple clients
• Seven-category structure: Brand Identity, Audience, Products & Services, Past Campaigns, Competitor Notes, Policies, Local Market Context
• Semantic retrieval and contextual prompting to ensure consistent, on-brand outputs
• Structured frontmatter, explicit facts, and date-stamped documents for retrieval accuracy
• Quarterly maintenance and calibration workflow to keep knowledge bases current

Quick Start

Load your client's brand documents into the knowledge base tool and run a quarterly maintenance review to keep outputs aligned with the brand.