krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-10-03 18:08:30 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update qdrant-landing/content/documentation/advanced-tutorials/using-multivector-representations.md

Browse Source 
Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com>
This commit is contained in:
Derrick Mwiti
2025-06-10 11:25:17 +03:00
committed by GitHub
co-authored by Kacper Łukawski
parent 1e5eaf689e
commit 1b114f8be3
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/advanced-tutorials/using-multivector-representations.md
+1 -1
View File
@@ -182,7 +182,7 @@ results = client.query_points(
Multivector search is one of the most powerful features of a vector database when used correctly. With this functionality in Qdrant, you can: Multivector search is one of the most powerful features of a vector database when used correctly. With this functionality in Qdrant, you can:
- Store token-level embeddings natively. - Store token-level embeddings natively.
- Disable indexing to reduce overhead. - Disable indexing to reduce overhead.
- Run fast and accurate search in one API call. - Run fast retrieval and accurate reranking in one API call.
- Efficiently scale late interaction. - Efficiently scale late interaction.
Combining FastEmbed and Qdrant leads to a production-ready pipeline for ColBERT-style reranking without wasting resources. You can do this locally or use Qdrant Cloud. Qdrant offers an easy-to-use API to get started with your search engine, so if you’re ready to dive in, sign up for free at [Qdrant Cloud](https://qdrant.tech/cloud/) and start building. Combining FastEmbed and Qdrant leads to a production-ready pipeline for ColBERT-style reranking without wasting resources. You can do this locally or use Qdrant Cloud. Qdrant offers an easy-to-use API to get started with your search engine, so if you’re ready to dive in, sign up for free at [Qdrant Cloud](https://qdrant.tech/cloud/) and start building.