Practical guides on AI tools, coding agents, and workflows.
Build a fully offline Retrieval-Augmented Generation (RAG) system using small embedding models and a local LLM. No APIs. No internet. Just private, fast AI search running entirely on your laptop.
Skip embeddings. Skip chunking. Build a full-document RAG system using Claude’s 200k context window and tool calling. Perfect for small datasets, policy manuals, research papers, and internal assistants.
Regex-based GPT automations break constantly. In this tutorial, you’ll build a production-ready AI invoice parser using OpenAI’s JSON Schema mode and n8n — with guaranteed structured output and zero cleanup logic.
