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Robert Schulze 2024-09-12 12:43:27 +00:00
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@ -109,7 +109,7 @@ The vector similarity index currently does not work with per-table, non-default
Vector index creation is known to be slow. To speed the process up, index creation can be parallelized. The maximum number of threads can be
configured using server configuration
setting [max_build_vector_similarity_index_thread_pool_size](server-configuration-parameters/settings.md#server_configuration_parameters_max_build_vector_similarity_index_thread_pool_size).
setting [max_build_vector_similarity_index_thread_pool_size](../../../operations/server-configuration-parameters/settings.md#server_configuration_parameters_max_build_vector_similarity_index_thread_pool_size).
ANN indexes are built during column insertion and merge. As a result, `INSERT` and `OPTIMIZE` statements will be slower than for ordinary
tables. ANNIndexes are ideally used only with immutable or rarely changed data, respectively when are far more read requests than write