Essays on knowledge graphs, provenance, and holonic data design in the age of AI, with a focus on how governed, historical records of data matter more than application code. Readers get conceptual and engineering-level arguments about MCP, RDF, and how language models should be given bounded views of data.
Website: https://inferenceengineer.substack.com
A personal blog documenting the author's personal knowledge management (PKM) system in Obsidian, including a controlled vocabulary of PKM terms and an AI-assisted diabetes coaching project. Posts walk through architecture, tooling, and lessons learned with concrete implementation detail.
A free six-week course building a production knowledge base from AI engineering newsletters, covering ingestion, scaling, temporal versioning and graph-based retrieval for RAG systems. Readers get hands-on, code-level engineering lessons plus recorded office hours and a GitHub project.
A weekly Korean-language digest from the Graph User Group community covering graph databases, knowledge graphs and GraphRAG. It combines open-source release notes, community event news and commentary on vendors such as AWS Neptune and Neo4j.
An engineering blog from Enterpret that explains the architecture and design decisions behind its customer feedback analysis platform. Readers get first-person accounts of choices such as adopting serverless infrastructure and building knowledge graphs.
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