Updated knn #1626
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Updated knn #1626
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JinHai-CN
reviewed
Aug 8, 2024
JinHai-CN
reviewed
Aug 8, 2024
JinHai-CN
reviewed
Aug 8, 2024
JinHai-CN
reviewed
Aug 8, 2024
JinHai-CN
reviewed
Aug 8, 2024
| Specifies the data type of the embedding vector. Commonly used types (values) include: | ||
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| - `"float"` | ||
| - `"int"`. |
JinHai-CN
reviewed
Aug 8, 2024
| table_obj.knn('col1', [0.1,0.2,0.3], 'float', 'l2', 100) | ||
| ``` | ||
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| ```python | ||
| ef = 100 |
JinHai-CN
reviewed
Aug 8, 2024
| # Find the 2 nearest neighbors using inner product distance | ||
| table_obj.knn('vec', [3.0] * 5, 'float', 'ip', 2) | ||
| # If you use HNSW index, you can set ef in knn_params | ||
| table_obj.knn('vec', [3.0] * 5, 'float', 'ip', 2, {"ef": str(ef)}) |
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[3.0] * 5=> [0.1, 0.2, 0.3]
JinHai-CN
reviewed
Aug 8, 2024
| # Find the 2 nearest neighbors using inner product distance | ||
| table_obj.knn('vec', [3.0] * 5, 'float', 'ip', 2) | ||
| # If you use HNSW index, you can set ef in knn_params | ||
| table_obj.knn('vec', [3.0] * 5, 'float', 'ip', 2, {"ef": str(ef)}) | ||
| ``` | ||
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Add one more example:
table_obj.knn('vec', [1, 2, 3], 'uint8', 'cosine', 2, {"ef": "100"})
JinHai-CN
approved these changes
Aug 8, 2024
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What problem does this PR solve?
Issue link:#1490
Type of change