This is a summary of the text about implementing Retrieval Augmented Generation (RAG) for HR teams to answer employee questions about company policies using AI tools. The process involves creating a knowledge base, connecting it to an AI tool, and configuring the tool to refer to the knowledge base when answering user questions. The key steps include getting data into a VectorDB, hooking up the VectorDB to the chat interface wrapper, and adding controls over how the AI operates and responds. The HR team or subject-matter-expert needs to steer and control the responses, ensuring that good, relevant previous responses are used to guide the AI, and that bad previous responses are not fed into the AI learning algorithms. The tool also needs to protect sensitive company data by automatically redacting PII before it leaves the organization's boundaries, ensuring Zero Day Retention policies are in place with third-party models, and providing API exportable Audit Logs.