krzysztof/landing_page
1
0
Fork 0
mirror of https://github.com/qdrant/landing_page.git synced 2026-10-01 00:48:32 +02:00
Code Issues Packages Projects Releases Wiki Activity

Use internal links

Browse Source
This commit is contained in:
timvisee
2023-07-24 11:14:29 +02:00
parent b02c5ae23f
commit 9dae80f411
2 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files
qdrant-landing/content/documentation/overview/_index.md
+1 -1
View File
@@ -112,7 +112,7 @@ Let's now evaluate, at a high-level, the way Qdrant is architected.
The diagram above represents a high-level overview of some of the main components of Qdrant. Here
are the terminologies you should get familiar with.
- [Collections](../concepts/collections/): A collection is a named set of points (vectors with a payload) among which you can search. The vector of each point within the same collection must have the same dimensionality and be compared by a single metric. [Named vectors](https://qdrant.tech/documentation/concepts/collections/#collection-with-multiple-vectors) can be used to have multiple vectors in a single point, each of which can have their own dimensionality and metric requirements.
- [Collections](../concepts/collections/): A collection is a named set of points (vectors with a payload) among which you can search. The vector of each point within the same collection must have the same dimensionality and be compared by a single metric. [Named vectors](../concepts/collections/#collection-with-multiple-vectors) can be used to have multiple vectors in a single point, each of which can have their own dimensionality and metric requirements.
- [Distance Metrics](https://en.wikipedia.org/wiki/Metric_space): These are used to measure
similarities among vectors and they must be selected at the same time you are creating a
collection. The choice of metric depends on the way the vectors were obtained and, in particular,