AI Research OS: A Workshop for Professional AI Workflows

by | Aug 7, 2026

Introduction Many developers and researchers begin their AI journey with scattered scripts and messy notebooks, leading to a frustrating problem: valuable research and context are lost the moment a chat session ends. The AI Research OS Workshop, an open-source project...

Zetsu: A Personal RAG for Offensive Security Knowledge

by | Aug 7, 2026

Introduction For offensive security professionals, knowledge is currency. Yet, this valuable knowledge—gleaned from bug bounty reports, technical writeups, and personal lab notes—often remains scattered across markdown files and ephemeral chat sessions. A new...

Zero Hallucinations RAG: A Guide to Fact-Checking LLMs

by | Aug 7, 2026

Introduction The promise of Retrieval-Augmented Generation (RAG) is to ground Large Language Models (LLMs) in factual data, yet the persistence of AI hallucinations remains a critical barrier to their enterprise adoption. Models that confidently invent facts are not...

PaperLens Guide: Automate Research with LLMs and Neo4j

by | Aug 7, 2026

Introduction The process of conducting a literature review is a cornerstone of scientific research, but it is often a tedious, manual slog through endless PDFs. Researchers spend countless hours downloading papers, extracting key information, and trying to connect...

MicroRAG: A Minimalist Python RAG for Learning and Building

by | Aug 7, 2026

Introduction Retrieval-Augmented Generation (RAG) has become a foundational pattern for building LLM applications that can reason over private data. However, diving into popular RAG frameworks can often feel like jumping into the deep end, with complex abstractions...