From Pilot to Production: Rolling Out a Document Assistant
What changes when a document assistant leaves the pilot: corpus scope, refusal thresholds, permissions, hosting choice and the operations work after launch.
What changes when a document assistant leaves the pilot: corpus scope, refusal thresholds, permissions, hosting choice and the operations work after launch.
Break a RAG request into stages - embedding, search, reranking, generation - and see which one actually drives your latency and cost before you tune it.
How to write prompts that keep a RAG assistant answering from retrieved documents: block separation, positive instructions and traceable citations.
Vector search alone buries the right passage at rank 12. See how a cross-encoder reranker reorders retrieved chunks and fixes wrong RAG answers.
How to test a document-grounded assistant before launch: build the eval set from real questions, separate retrieval from generation, measure groundedness.
RAG assistants invent answers when retrieval fails first. How chunking, metadata and citation checks stop fabrication in document Q&A.
Ragable indexes your files and answers from them, with citations. Start on SaaS or run it on your own infrastructure.
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