Building Production-Ready AI Vector Search in Databricks: Chunking, Embeddings, ML Pipelines, and RAG

The demo always works. You paste a PDF into a notebook, split it into chunks, embed them with a hosted model, push the vectors into an index, and ask a question. The answer comes back, everyone nods, and the prototype gets a thumbs-up in the team channel.