krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-10-06 19:38:30 +02:00
Code Issues Packages Projects Releases Wiki Activity

Minor fixes

Browse Source
This commit is contained in:
Kacper Łukawski
2026-01-22 14:39:14 +01:00
parent 3d5fa5da35
commit d51e2b40b2
3 changed files with 5 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/course/multi-vector-search/module-3/_index.md
+2 -1
View File
@@ -20,5 +20,6 @@ Tackle the memory and performance challenges of production-scale multi-vector se
3. Pooling Techniques
4. MUVERA
5. Evaluating Search Pipelines
6. Final Project
You'll master the optimization strategies needed to deploy multi-vector search at scale. Eventually, you will utilize all the learned skills to build a real-world project implementing multi-vector search for multi-modal data.
You'll master the optimization strategies needed to deploy multi-vector search at scale. The module concludes with a final project where you'll apply all the learned skills to build a real-world multi-vector search system for multi-modal data.