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AI development PDF Chunking for RAG: Route OCR by Page, Keep Table Headers Attached, Re-index the Delta Every RAG demo works on a clean PDF. Then you point it at a decade of scanned contracts and it returns confident nonsense. The chunk is the unit of retrieval, and three moves decide whether yours are any good: route OCR by page, keep table headers attached, re-index the delta. EdTech Who Actually Leads SAT Prep in 2026? Nobody, and That's the Opening The most-repeated facts about who leads SAT prep fail a fact-check: a $1.75B acquisition that never happened, market shares that trace to a content farm, a user count frozen since 2020. What's actually true in 2026, and why the serious players are building their own platforms. AI development Diagnostic Analytics for SAT Prep: Careless vs Concept vs Pacing A score report that says 640 Math tells a student nothing they can act on. The product is the sentence after the number: which misses were careless, which were concept gaps, which were pacing. Same wrong answers, three opposite fixes, and the layer that compounds into a moat. AI development Agentic RAG: Why Retrieval Is the Layer Under the Agent Classic RAG is a straight line: retrieve once, then answer. Agentic RAG is a control loop, an agent that decides what to fetch, whether it was enough, and whether the question is answerable at all. Here is the real graph, and when the loop is worth its cost. AI development How to Actually Evaluate Your RAG: Evaluation Metrics, Golden Datasets, and the Regression Gate 'It feels better' is not a number. RAG evaluation metrics for both halves, a six-step golden dataset build, a pytest regression gate and two judge checks, so your next RAG change is measured before it ships. AI development How to Build an SAT Prep Platform in 2026 (and What's Still Standing in 2028) If you sell SAT prep, you spent 2026 watching Google give it away free. The niche survives because the easy half is free and the hard half, the part a junior or an AI gets wrong, is the whole business. A builder's map to a digital-SAT platform, and what's still standing in 2028. AI development Vector Database for RAG: Pinecone vs Qdrant vs pgvector (2026) The best vector database for RAG is the one that fits your hardest constraint. A Tech Lead who runs Qdrant compares Pinecone, Qdrant, pgvector, Weaviate, Milvus and Chroma on data residency, scale, hybrid search and filtered recall, every vendor fact checked against its docs on 30 October 2026. AI development Your Agent Is Only as Smart as Its Search: Inside Our Hybrid RAG on Qdrant Our matching agent answered a continuous stream of developer requests with confident, well-rounded, wrong shortlists, until we fixed the search under it. The architecture, the reasoning, and an interactive fusion demo you can tune yourself. Python I am a TypeScript developer. Python typing has not caught up. A TypeScript developer integrates LangGraph into a Pydantic-typed FastAPI codebase and finds a wall. The wall is real, structural, and identical in shape to walls every modern language has hit. Naming it changes everything. Founders Top 5 Skills a Non-Technical Co-Founder Needs in 2026 AI builders made shipping cheap. Owning the source code, security, developer accounts, distribution, and a defensible niche is the work AI will not do for you. AI development AI-Native vs AI-Powered Developers: What Hiring Teams Get Wrong Learn how AI-native, AI-powered, traditional, and vibe-coding developers differ, and what to ask before hiring for AI coding work.