Episode notes
How Founders Should Think About RAG
Are you building a knowledge-driven company? The rules for utilizing AI have changed. This episode explores how founders are redefining competitive advantage by deploying Retrieval-Augmented Generation (RAG), where success depends less on pure Large Language Model (LLM) output and more on assembling the right custom knowledge base to ground AI workflows.
We break down how relying purely on LLM training data has evolved into an infrastructure-aware strategy that uses RAG to ensure outputs are more accurate, up-to-date, and grounded in a company's own data. This transition allows founders to unlock critical internal knowledge, such as support logs, sales documents, compliance information, and product specifications.