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Co-authored-by: Grace Cai <[email protected]>

tidb-cloud/vector-search-limitations.md

@@ -16,19 +16,19 @@ This document describes the known limitations of TiDB Vector Search.
 - Each [vector](/tidb-cloud/vector-search-data-types.md) supports up to 16383 dimensions.
 - Vector data types cannot store `NaN`, `Infinity`, or `-Infinity` values.
 - Vector data types cannot store double-precision floating-point numbers. If you insert or store double-precision floating-point numbers in vector columns, TiDB converts them to single-precision floating-point numbers.
-- Vector columns cannot be used in primary keys, unique indexes or partition keys. To accelerate the vector search performance, use [Vector Search Index](/tidb-cloud/vector-search-index.md).
-- Multiple vector columns in a table is allowed. However, there is [a limit of total number of columns in a table](/tidb-limitations.md#limitations-on-a-single-table).
-- Currently TiDB does not support dropping a vector column with a vector index. To drop such column, drop the vector index first, then drop the vector column.
+- Vector columns cannot be used in primary keys, unique indexes, or partition keys. To accelerate the vector search performance, use [Vector Search Index](/tidb-cloud/vector-search-index.md).
+- A table can have multiple vector columns. However, there is [a limit on the total number of columns in a table](/tidb-limitations.md#limitations-on-a-single-table).
+- Currently, TiDB does not support dropping a vector column with a vector index. To drop such a column, drop the vector index first, then drop the vector column.
 - Currently TiDB does not support modifying a vector column to other data types such as `JSON` and `VARCHAR`.
 
 ## Vector index limitations
 
 - Vector index is used for vector search. It cannot accelerate other queries like range queries or equality queries. Thus, it is not possible to create a vector index on a non-vector column, or on multiple vector columns.
-- Multiple vector indexes in a table is allowed. However, there is [a limit of total number of indexes in a table](/tidb-limitations.md#limitations-on-a-single-table).
-- Multiple vector indexes on the same column is allowed only if they use different distance functions.
-- Currently only `VEC_COSINE_DISTANCE()` and `VEC_L2_DISTANCE()` are supported as the distance functions for vector indexes.
-- Currently TiDB does not support dropping a vector column with a vector index. To drop such column, drop the vector index first, then drop the vector column.
-- Currently TiDB does not support setting vector index as [invisible](/sql-statements/sql-statement-alter-index.md).
+- A table can have multiple vector indexes. However, there is [a limit on the total number of indexes in a table](/tidb-limitations.md#limitations-on-a-single-table).
+- Creating multiple vector indexes on the same column is allowed only if they use different distance functions.
+- Currently, only `VEC_COSINE_DISTANCE()` and `VEC_L2_DISTANCE()` are supported as the distance functions for vector indexes.
+- Currently, TiDB does not support dropping a vector column with a vector index. To drop such a column, drop the vector index first, then drop the vector column.
+- Currently, TiDB does not support setting vector index as [invisible](/sql-statements/sql-statement-alter-index.md).
 
 ## Compatibility with TiDB tools