🔧 PDF RAG Summarization Runbook: Semantic Search, Embeddings, Rerank, Final Summary

Retrieve PDF pages with embeddings, rerank the small candidate set, and summarize only the passages that can change the answer.

For a long contract, report, or knowledge-base export, I would not send every extracted page to a model. I would preserve page provenance, index sensible chunks, retrieve broadly for the user's topic, rerank narrowly,...