Posts

Showing posts with the label rag

PARA Method for Engineers: Organize Knowledge by Action

PARA (Projects, Areas, Resources, Archives) helps engineers organize knowledge by actionability rather than topic. A practical guide for developers using Obsidian, Notion, or plain files. PARA Method for Engineers: Organize Knowledge by Action

AI for Knowledge Management: Real Workflows That Hold Up

A practical guide to AI-augmented knowledge management, from summarisation and extraction to semantic linking, local models, APIs, and review loops. AI for Knowledge Management: Real Workflows That Hold Up

Second Brain Explained for Engineers and Knowledge Workers

Learn what a second brain really is, how it differs from PKM, wikis, and RAG, and why the best systems turn notes into reusable thinking over time. Second Brain Explained for Engineers and Knowledge Workers

LLM Wiki - Compiled Knowledge That RAG Cannot Replace

RAG retrieves fragments on demand. LLM Wiki compiles structured knowledge before any question is asked. Learn when ingest-time synthesis beats query-time retrieval, and when it does not. LLM Wiki - Compiled Knowledge That RAG Cannot Replace

PKM vs RAG vs Wiki vs Memory Systems Explained Clearly

Compare PKM, RAG, wikis, and AI memory systems by structure, retrieval, ownership, evolution, and real-world use cases. PKM vs RAG vs Wiki vs Memory Systems Explained Clearly

Second Brain Explained for Engineers and Knowledge Workers

Learn what a second brain really is, how it differs from PKM, wikis, and RAG, and why the best systems turn notes into reusable thinking over time. Second Brain Explained for Engineers and Knowledge Workers

Neo4j graph database for GraphRAG, install, Cypher, vectors, ops

Senior-engineer guide to Neo4j for property graphs and GraphRAG. Cypher, ACID, Neo4j vs Neptune and TigerGraph, Docker and AuraDB, ports and neo4j.conf, vector indexes, hybrid retrieval, and Python neo4j-graphrag. Neo4j graph database for GraphRAG, install, Cypher, vectors, ops

OpenClaw: Examining a Self-Hosted AI Assistant as a Real System

A case-study exploration of OpenClaw — a self-hosted AI assistant system that integrates local LLMs, retrieval, memory, routing, and observability into a cohesive local infrastructure. OpenClaw: Examining a Self-Hosted AI Assistant as a Real System