RAG – Scott J. Pearson’s Book Review

A Simple Guide to Retrieval Augmented Generation

By Scott J. Pearson | December 18, 2025December 18, 2025 by Scott J. Pearson

Retrieval-augmented generation (RAG) is a process in artificial intelligence (AI) where specific documents can be consulted to provide an answer. It provides a way for individual groups to customize a bot for their internal uses. For example, a company can provide business policies specific to their own organization. Or healthcare firms can provide literature up to date with their own fields, not just the latest AI build of the foundation model. Frankly, this topic confused…

Retrieval-Augmented Generation (RAG) & Vector Databases: A Practical Guide for AI Developers

By Scott J. Pearson | December 17, 2025December 17, 2025 by Scott J. Pearson

Retrieval-Augmented Generation (RAG) is how artificial intelligence prioritizes facts in a given domain over and above all the information the basic, foundational model offers. It allows businesses, scientists, and others to prioritize their custom knowledge instead of making up answers. It’s an extremely powerful tool that most AI users don’t understand. This book tries to explain the basics of a RAG system in Python code. Unfortunately, despite a grasp on the basics of RAG, it…