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Hi, I'm Scott Galloway.

Software engineer, former Microsoft ASP.NET Program Manager. Practical notes on .NET, AI, search, and building Stylo.Bot and other open-source tools. About me · Get in touch

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Page 7 of 82 (Total items: 817)
DocSummarizer Part 5 - lucidRAG: Multi-Document RAG Web Application

This is Part 5 of the DocSummarizer series, and it's also the culmination of the GraphRAG series and Semantic Search series. We're combining everything into a deployable web application. 🚨🚨 PREVIEW ARTICLE 🚨🚨 Still working out some kinks and adding…

Zero PII Customer Intelligence - Part 1: The Philosophy

What This Series Builds This series builds a working ecommerce system that proves you can have sophisticated customer intelligence without storing personal information. What We Build How It Works Semantic segmentation Vector embeddings group similar interests…

Zero PII Customer Intelligence - Part 1.1: Generating Sample Data (and Images) Locally

In Part 1 we covered the philosophy: transparent segmentation without PII. Part 2 covers session profiles, signals, and segment definitions. But first: how do you validate any of this without ever touching real customer data? For this series I generate a…

Zero PII Customer Intelligence - Part 2: Profiles, Signals & Segments

In Part 1 we covered the philosophy and series overview. In Part 1.1 we built the sample data generator. Now let's build the core system. This part focuses on: Zero-PII profile architecture - Ephemeral sessions vs persistent profiles Signals and weights - What…

"How do you work on all these projects and write these articles, is it just AI doing it all?"

Yes and no, I've ALWAYS been able to have multiple ideas in my head at the same time and let them coalesce until it's something I can build (I gave up all the 'social life' parts so it's not ALL GOOD!). I can write pages on each idea and DO all the time (check…

DocSummarizer Part 4 - Building RAG Pipelines

NuGet npm .NET Node.js This is Part 4 of the DocSummarizer series. See Part 1 for the architecture, Part 2 for the CLI tool, or Part 3 for the deep dive on embeddings. The hard part of RAG isn't the LLM. It's everything before the LLM. You've probably seen the…

Why You Probably Shouldn't Use Microservices (Yet)

Microservices have become the default "serious system" architecture. If you want to sound mature, you talk about service meshes, event buses, distributed tracing, and "independent deployability". If you want to look enterprise-ready, you draw boxes until the…

HTTP Over the Decades: A Story of Physics, Latency, and Grudging Adaptation

HTTP didn't evolve. It was forced to change by physics, latency, and misuse. Every version exists because the previous one hit a hard constraint. If you understand those constraints, you understand why the web works the way it does - and why so many "best…

No, Small Models Are Not the "Budget Option"

Small and local LLMs are often framed as the cheap alternative to frontier models. That framing is wrong. They are not a degraded version of the same thing. They are a different architectural choice, selected for control, predictability, and survivable failure…

GraphRAG Part 2: Minimum Viable GraphRAG

In Part 1, we explored why GraphRAG matters. Now let's build a minimum viable GraphRAG with three extraction modes: Mode LLM Calls Best For Heuristic (default) 0 per chunk Fast indexing, structured markdown Hybrid 1 per document Balance of speed and quality…

Page 7 of 82 (Total items: 817)
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