Two weeks after launch, a policy assistant confidently told employees they could expense $65/day . The absolute limit was $75 , updated three months earlier. That wasn't a “model hallucination"—it was stale retrieval with no uncertainty handling , quietly shipping bad guidance at scale. This post shows how to stop that. We'll turn "embed → top-k → paste” into a production-ready loop  that adapts its strategy, checks its own evidence, and admits uncertainty when support is wea

From “retrieve-then-generate” to self-reflective, decision-driven systems — this short, illustrated history of Retrieval-Augmented Generation (RAG) traces how retrieval evolved from a simple lookup step into a dynamic, agentic layer of reasoning. Follow the milestones from Basic RAG to Self-RAG, GraphRAG, and Adaptive RAG, and see how modern AI learns when to retrieve, what to keep, and how to revise.

Hey! I'm Nandita. I've been working in AI and security for several years, building systems and solving complex problems. I'm currently...

Artificial Intelligence is shaking up how companies hire these days. As an engineer, should you worry? We saw a rapid extinction of...