Tagged: retrieval
5 posts
Three signals, one answer
Follow a single user question through a retrieval pipeline: from pronoun resolution to three parallel searches, rank fusion, and a final reranker pass. Discover why one similarity score is not enough.
Not every question needs the knowledge base
Reduce latency, avoid irrelevant answers, and save GPU costs by skipping knowledge base retrieval for queries that are not questions. How pattern matching and semantic gates filter trivial queries before they hit the vector store.
How to know if your knowledge base fix actually worked
Know if your knowledge base fix worked with automatic gap re-scoring. Learn how retrieval validation closes the loop between edits and outcomes.
Why knowledge base search fails users
How to bridge the gap between user questions and knowledge base answers. Techniques that work at storage vs query time, and why the retrieval system isn't where the fix happens.
Quality happens at storage, not at search
Retrieval tuning can't fix a storage problem. Learn why knowledge base quality is determined at ingest time, and what contextual retrieval and HyPE actually do.