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@@ -417,7 +417,6 @@ await client.SearchAsync(
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**Available as of v1.10.0**
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Qdrant supports the storing of a variable amount of same-shaped dense vectors in a single point.
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Each vector can be of a different type and be generated by a different embedding model.
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This means that instead of a single dense vector, you can upload a matrix of dense vectors.
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The length of the matrix is fixed, but the number of vectors in the matrix can be different for each point.
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@@ -795,6 +794,7 @@ await client.QueryAsync(
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Aside from storing multiple vectors of the same shape in a single point, Qdrant supports storing multiple different vectors in a single point.
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Each of these vectors should have a unique configuration and should be addressed by a unique name.
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Also, each vector can be of a different type and be generated by a different embedding model.
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To create a collection with named vectors, you need to specify a configuration for each vector:
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