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Add 'vector_distance' method to similarity metric methods. #413

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Add 'vector_distance' method to similarity metric methods. #413

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2 changes: 1 addition & 1 deletion docs-site/content/30.0/api/curation.md
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Expand Up @@ -1288,7 +1288,7 @@ curl "http://localhost:8108/collections/curation_sets/curate_products/items/dyna
| diversity | no | Uses Maximum Marginal Relevance(MMR), diversifies the top 250 hits based on pre-defined similarity metric |
| diversity.similarity_metric | yes | List of metric objects containing details of the `field`, `method` and the `weight` to be used to calculate the similarity value of two documents. |
| diversity.similarity_metric.field | yes | Name of the field. The field must be defined with `facet: true` for an array type or `sort: true` otherwise. |
| diversity.similarity_metric.method | yes | Method to be used to calculate the similarity of the documents. `equality` checks for an exact match of the field value(s) and `jaccard` computes the [Jaccard_index](https://en.wikipedia.org/wiki/Jaccard_index) using the values of the field. `equality` can be used for both array and single type fields but `jacaard` can only be used with an array type field. |
| diversity.similarity_metric.method | yes | Method to be used to calculate the similarity of the documents. `equality` checks for an exact match of the field value(s) and `jaccard` computes the [Jaccard_index](https://en.wikipedia.org/wiki/Jaccard_index) using the values of the field. `equality` can be used for both array and single type fields but `jacaard` can only be used with an array type field. `vector_distance` computes similarity of two documents using the vector field. |
| diversity.similarity_metric.weight | yes | Weight of this field in calculating the total similarity value. |

### Using overrides with scoped API keys
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