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fix: metric type inconsistency (#2122)
PR fixes #2113 --------- Co-authored-by: Will Jones <willjones127@gmail.com>
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@@ -108,7 +108,7 @@ This method creates a scalar(for non-vector cols) or a vector index on a table.
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|`vector_col`|`Optional[str]`| Provide if you want to create index on a vector column. |`None`|
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|`col_name`|`Optional[str]`| Provide if you want to create index on a non-vector column. |`None`|
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|`metric`|`Optional[str]` |Provide the metric to use for vector index. choice of metrics: 'L2', 'dot', 'cosine'. |`L2`|
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|`metric`|`Optional[str]` |Provide the metric to use for vector index. choice of metrics: 'l2', 'dot', 'cosine'. |`l2`|
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|`num_partitions`|`Optional[int]`|Number of partitions to use for the index.|`256`|
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|`num_sub_vectors`|`Optional[int]` |Number of sub-vectors to use for the index.|`96`|
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|`index_cache_size`|`Optional[int]` |Size of the index cache.|`None`|
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@@ -125,7 +125,7 @@ The exhaustive list of parameters for `LanceDBVectorStore` vector store are :
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```
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- **_table_exists(self, tbl_name: `Optional[str]` = `None`) -> `bool`** : Returns `True` if `tbl_name` exists in database.
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- __create_index(
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self, scalar: `Optional[bool]` = False, col_name: `Optional[str]` = None, num_partitions: `Optional[int]` = 256, num_sub_vectors: `Optional[int]` = 96, index_cache_size: `Optional[int]` = None, metric: `Optional[str]` = "L2",
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self, scalar: `Optional[bool]` = False, col_name: `Optional[str]` = None, num_partitions: `Optional[int]` = 256, num_sub_vectors: `Optional[int]` = 96, index_cache_size: `Optional[int]` = None, metric: `Optional[str]` = "l2",
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) -> `None`__ : Creates a scalar(for non-vector cols) or a vector index on a table.
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Make sure your vector column has enough data before creating an index on it.
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