mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-02 01:18:30 +02:00
update completion times
This commit is contained in:
+1
-1
@@ -7,7 +7,7 @@ aliases:
|
||||
|
||||
# Building a Golden Query Set
|
||||
|
||||
| Time: 20 min | Level: Intermediate | | |
|
||||
| Time: 40 min | Level: Intermediate | | |
|
||||
|--------------|---------------------|--|----|
|
||||
|
||||
Evaluating retrieval relevance requires a labeled dataset of queries paired with their expected relevant documents (commonly called a *golden query set* or *ground truth*). The [Retrieval Quality Evaluation](/documentation/tutorials-search-engineering/retrieval-quality/) tutorial measures **ANN recall** against exact kNN, which needs no relevance labels. This page covers the separate task of building labeled data to measure **retrieval relevance** against real user intent.
|
||||
|
||||
Reference in New Issue
Block a user