Update qdrant-landing/content/articles/qdrant-1.3.x.md

Co-authored-by: Tim Visée <tim@visee.me>
This commit is contained in:
David Sertic
2023-06-22 01:21:47 +02:00
committed by GitHub
co-authored by Tim Visée
parent 074a4ec802
commit 999604da2b
@@ -80,7 +80,7 @@ client.search(
In this case, if `oversampling` is 2.4 and `limit` is 100, then 240 vectors will be pre-selected using quantized index, and then the top 100 vectors will be returned after re-scoring.
As you can see from the example above, this parameter is set during the query. This is a flexible method that will let you tune query accuracy. While index is not changed, you can decide how many points you want to retrieve using quantized vectors.
As you can see from the example above, this parameter is set during the query. This is a flexible method that will let you tune query accuracy. While the index is not changed, you can decide how many points you want to retrieve using quantized vectors.
### Asychronous I/O interface