Named Entity Recognition (NER) finds the people, organizations and dates inside unstructured text and stores them as metadata alongside the embeddings. In this post, we explain how that metadata sharpens retrieval and show how Progress Agentic RAG automatically detects entities during ingestion.
Context Relevance tells you whether retrieval handed the model the right chunks, so you can catch a bad answer at its source instead of blaming the prompt.