Latest Posts

• Apr 9, 2025

  Leveraging AI Personas for Comprehensive Document Feedback

  AI

  Receiving timely and relevant feedback is crucial for improving content quality. Recently, a colleague mentioned how beneficial it would be to have “personas on demand” for feedback. This sparked an idea to create a system that could provide detailed evaluations from multiple perspectives. This was a perfect opportunity to use my local LLM setup to provide immediate feedback on a Redbooks publication that was just released yesterday, the IBM z17 Technical Introduction.

• Mar 20, 2025

  Creating a Powerful Document Processing App with DocRAG

  AI

  In today’s data-driven world, managing and processing documents efficiently is crucial. One of the most common challenges is converting PDFs into formats that are easily searchable and integrable with Local Language Models (LLMs). This blog post details how I used Cursor to create an app called DogRAG, which allows you to convert PDFs into markdown, txt, and JSON files for easy Retrieval-Augmented Generation (RAG) using your local LLM system.

• Mar 14, 2025

  From PDFs to Personalized AI: Building a Custom RAG System for IBM Redbooks

  AITutorial

  In the world of enterprise IT, technical documentation is both invaluable and overwhelming. IBM Redbooks, the gold standard for in-depth technical guides on IBM products, contain thousands of pages of expert knowledge. But how do we transform these static PDFs into dynamic, queryable knowledge bases? Today, I’d like to share a journey of building a custom Retrieval-Augmented Generation (RAG) system specifically for IBM technical documentation. This project demonstrates how modern AI techniques can unlock the knowledge trapped in technical PDFs and make it accessible through natural language queries. The Challenge: Unlocking Technical Knowledge IBM Redbooks are comprehensive technical guides, often hundreds of pages long, covering complex systems like IBM Z mainframes, cybersecurity solutions, and enterprise storage. These documents are treasure troves of information but present several challenges: