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fix language
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@@ -424,7 +424,7 @@ await client.CreatePayloadIndexAsync(
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*Available as of v1.11.0*
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By default all payload-related structures are stored in memory. In this way vector index can quickly access payload values during search.
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By default all payload-related structures are stored in memory. In this way, the vector index can quickly access payload values during search.
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As latency in this case is critical, it is recommended to keep hot payload indexes in memory.
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There are, however, cases when payload indexes are too large or rarely used. In those cases, it is possible to store payload indexes on disk.
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@@ -552,7 +552,7 @@ The list will be extended in future versions.
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*Available as of v1.11.0*
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Many vector search use-cases require multi-tenancy support. In multi-tenant scenario the collection is expected to contain multiple subsets of data, each subset belonging to a different tenant.
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Many vector search use-cases require multitenancy. In a multi-tenant scenario the collection is expected to contain multiple subsets of data, where each subset belongs to a different tenant.
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Qdrant supports efficient multi-tenant search by enabling [special configuration](../guides/multiple-partitions/) vector index, which disables global search and only builds sub-indexes for each tenant.
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@@ -560,8 +560,8 @@ Qdrant supports efficient multi-tenant search by enabling [special configuration
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In Qdrant, tenants are not necessarily non-overlapping. It is possible to have subsets of data that belong to multiple tenants.
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</aside>
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But knowing that the collection contains multiple tenants unlocks more opportunities for optimization.
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For enabling Qdrant to optimize storage even further, you can enable tenant index for payload fields.
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However, knowing that the collection contains multiple tenants unlocks more opportunities for optimization.
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To optimize storage in Qdrant further, you can enable tenant indexing for payload fields.
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This option will tell Qdrant which fields are used for tenant identification and will allow Qdrant to structure storage for faster search of tenant-specific data.
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One example of such optimization is localizing tenant-specific data closer on disk, which will reduce the number of disk reads during search.
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@@ -672,7 +672,7 @@ await client.CreatePayloadIndexAsync(
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```
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Tenant optimization is supported for following types:
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Tenant optimization is supported for the following datatypes:
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* `keyword`
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* `uuid`
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