Structured Data RAG (2026): FAST-RAG Without Vectors
RAG is not enough for high-stakes AI. Build a Structured Data RAG—aka FAST-RAG—that swaps fuzzy similarity for precise, symbolic retrieval. This guide shows ingestion, triple extraction, knowledge indexes, a hybrid fallback, and a practical Python example with CSV and Pandas.
The Next AI Boom (2026) — What Comes After AI Agents and Agentic AI?
The NEXT AI BOOM isn’t about one model—it’s about orchestrated systems. From autonomous AI ecosystems and lifelong learning to multimodal AI, digital twins, and neuro-AI, this guide breaks down frontiers, risks, and playbooks you can use to build, invest, or lead in the coming wave of AI transformation.
GPT-5 Upgrade Guide (2026): The Essential Playbook for Smarter Coding
This GPT-5 Upgrade Guide explains everything you need to know about GPT-5: new features, migration steps, GitHub Copilot setup, cost-saving tips, and runnable Python code.
PRODUCTIVITY HACKS
AI Document Extraction: LLMs That Tame Complex PDFs
A practical, modern guide to AI document extraction. See how LLMs and multimodal models beat fragile rules and vanilla OCR to parse complex PDFs, tables, and scans—plus Python code you can adapt.
