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.
Blog
Blog on RAG and AI assistants
Notes on retrieval-augmented generation, AI assistants and getting real answers out of your own documents.
Cost and Latency in a RAG Pipeline: Where the Time Actually Goes
Break a RAG request into stages - embedding, search, reranking, generation - and see which one actually drives your latency and cost before you tune it.
Prompt Design for Grounded Answers Instead of Creative Ones
How to write prompts that keep a RAG assistant answering from retrieved documents: block separation, positive instructions and traceable citations.
How Often to Reindex, and What Breaks When You Forget
Stale indexes give confident wrong answers. How to set reindexing frequency by document tier, and what breaks when a sync run falls behind.
An Internal Documentation Assistant for Onboarding New People
A retrieval augmented AI assistant answers new joiners' questions from your own documents, with a visible source for every answer. How to build one.
RAG in Customer Support: From First Answer to Human Handover
How to ground support answers in your own help center content, design the first reply, and hand over to a human before retrieval fails the customer.
What Your Assistant Should Say When the Answer Is Not in the Docs
Retrieval gaps are inevitable. Learn to classify three kinds of missing context and write refusals that keep users moving instead of guessing.
Reranking Retrieved Passages: The Step Most Teams Skip
Vector search alone buries the right passage at rank 12. See how a cross-encoder reranker reorders retrieved chunks and fixes wrong RAG answers.
Evaluating a RAG System Before You Let Anyone Use It
How to test a document-grounded assistant before launch: build the eval set from real questions, separate retrieval from generation, measure groundedness.
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