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Update qdrant-landing/content/documentation/embeddings/jina-embeddings.md

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Co-authored-by: Anush  <anushshetty90@gmail.com>
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2024-11-21 10:05:06 +01:00
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@@ -33,7 +33,7 @@ On top of the backbone, `jina-embeddings-v3` has been trained with 5 task-specif
+ **text-matching**: Used to encode text for similarity matching, such as measuring similarity between two sentences.
+ **separation**: Used for clustering or reranking tasks.
`jina-embeddings-v3` and `jina-clip-v2` supports **Matryoshka Representation Learning**, allowing users to control the embedding dimension with minimal performance loss.
`jina-embeddings-v3` and `jina-clip-v2` support **Matryoshka Representation Learning**, allowing users to control the embedding dimension with minimal performance loss.
Include `dimensions` in your request to select the desired dimension.
By default, **dimensions** is set to 1024, and a number between 256 and 1024 is recommended.
You can reference the table below for hints on dimension vs. performance: