#rag

Cloud RAG sends your documents to someone else's servers as embeddings and as context. Here's the same pipeline built entirely on your own machine instead.

No framework, no vector database, just chunking, embeddings, and cosine similarity written by hand, so you actually know what's happening when it breaks.

Reading five good-looking outputs isn't evaluation, it's a guess with extra steps. Real metrics, golden datasets, LLM-as-judge, and a CI/CD gate that actually works.

AI hallucinations aren't a bug you can patch, they're built into how generative AI works. Here's why they happen, what they cost, and the concrete techniques that reduce the risk.