"Things to Check Before Taking Qdrant into Production" guide (#2219)

* Update Qdrant logo in tradeoff image

* Add production checklist

* Add payload indexing

* Review feedback

* Review feedback

* Small edits

* Fix links
This commit is contained in:
Abdon Pijpelink
2026-04-21 14:36:33 +02:00
committed by GitHub
parent ca7aaa7499
commit b23b94b3c5
6 changed files with 97 additions and 4 deletions
@@ -106,6 +106,8 @@ There are a few ways to build search architectures around this idea:
To get the best of all worlds, Qdrant has a convenient interface to perform the queries in stages,
such that the coarse results are fetched first, and then they are refined later with larger vectors.
<aside role="status">Disable the HNSW index for vectors used only for rescoring by setting <code>m=0</code> in the vector's HNSW configuration. Rescoring does not use the HNSW index, so disabling it will free up memory.</aside>
### Re-scoring examples
Fetch 1000 results using a shorter MRL byte vector, then re-score them using the full vector and get the top 10.