RAG Architecture and Internals: How It Really Works

In Part 1, we covered RAG's origins, fundamentals, and why it matters. You understand the high-level concept: retrieve relevant information, then use it to generate responses. Now we dive deep into the technical architecture—exactly how RAG systems work under…

RAG Explained: Origins and Fundamentals

Ever searched for "deployment guide" and got nothing, even though there's an article about "publishing to production"? RAG (Retrieval-Augmented Generation) solves this by understanding meaning, not just keywords. This series shows you how RAG came about, how…

Building a "Lawyer GPT" for Your Blog - Part 7: Content Generation & Prompt Engineering

WARNING: THESE ARE DRAFT POSTS WHICH 'ESCAPED'. It's likely much of what's below won't work; I generate these as how-to for ME and then do all the steps and get the sample app working...You've been sneaky and seen them! they'll likely be ready mid-December.…

Building a "Lawyer GPT" for Your Blog - Part 4: Building the Ingestion Pipeline

Welcome to Part 4! We've set up our GPU (Part 2), understand embeddings and vector databases (Part 3), and have the overall architecture (Part 1). Now it's time to build the ingestion pipeline - the system that processes all your blog posts and makes them…

Building a "Lawyer GPT" for Your Blog - Part 1: Introduction & Architecture

Buckle in because this is going to be a long series! If you've been following along with this blog, you'll know I'm a bit obsessed with finding interesting ways to use LLMs and AI in practical applications. Well, I've got a new project that combines my love of…

Building a "Lawyer GPT" for Your Blog - Fine Tuning LLM Alternative: RAG with Qdrant and Generic Online LLMs

In my 8-part "Lawyer GPT" series, I showed you how to build a complete local RAG-based writing assistant using GPU acceleration, local LLMs, and vector databases. It's powerful, private, and runs entirely on your hardware. But let's be honest - not everyone…