Minor editorial updates to the HTTP API reference (#3027)

### What problem does this PR solve?



### Type of change


- [x] Documentation Update
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writinwaters 2024-10-27 08:00:51 +08:00 committed by GitHub
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@ -91,7 +91,7 @@ curl --request POST \
- `"email"`: Email - `"email"`: Email
- `"parser_config"`: (*Body parameter*), `object` - `"parser_config"`: (*Body parameter*), `object`
The configuration settings for the dataset parser. A `ParserConfig` object contains the following attributes: The configuration settings for the dataset parser, a JSON object containing the following attributes:
- `"chunk_token_count"`: Defaults to `128`. - `"chunk_token_count"`: Defaults to `128`.
- `"layout_recognize"`: Defaults to `true`. - `"layout_recognize"`: Defaults to `true`.
- `"delimiter"`: Defaults to `"\n!?。;!?"`. - `"delimiter"`: Defaults to `"\n!?。;!?"`.
@ -236,11 +236,13 @@ curl --request PUT \
- `dataset_id`: (*Path parameter*) - `dataset_id`: (*Path parameter*)
The ID of the dataset to update. The ID of the dataset to update.
- `"name"`: `string` - `"name"`: (*Body parameter*), `string`
The revised name of the dataset. The revised name of the dataset.
- `"embedding_model"`: `string` The updated embedding model name. - `"embedding_model"`: (*Body parameter*), `string`
The updated embedding model name.
- Ensure that `"chunk_count"` is `0` before updating `"embedding_model"`. - Ensure that `"chunk_count"` is `0` before updating `"embedding_model"`.
- `"chunk_method"`: `enum<string>` The chunking method for the dataset. Available options: - `"chunk_method"`: (*Body parameter*), `enum<string>`
The chunking method for the dataset. Available options:
- `"naive"`: General - `"naive"`: General
- `"manual`: Manual - `"manual`: Manual
- `"qa"`: Q&A - `"qa"`: Q&A
@ -298,19 +300,19 @@ curl --request GET \
#### Request parameters #### Request parameters
- `page`: (*Path parameter*) - `page`: (*Filter parameter*)
Specifies the page on which the datasets will be displayed. Defaults to `1`. Specifies the page on which the datasets will be displayed. Defaults to `1`.
- `page_size`: (*Path parameter*) - `page_size`: (*Filter parameter*)
The number of datasets on each page. Defaults to `1024`. The number of datasets on each page. Defaults to `1024`.
- `orderby`: (*Path parameter*) - `orderby`: (*Filter parameter*)
The field by which datasets should be sorted. Available options: The field by which datasets should be sorted. Available options:
- `create_time` (default) - `create_time` (default)
- `update_time` - `update_time`
- `desc`: (*Path parameter*) - `desc`: (*Filter parameter*)
Indicates whether the retrieved datasets should be sorted in descending order. Defaults to `true`. Indicates whether the retrieved datasets should be sorted in descending order. Defaults to `true`.
- `name`: (*Path parameter*) - `name`: (*Filter parameter*)
The name of the dataset to retrieve. The name of the dataset to retrieve.
- `id`: (*Path parameter*) - `id`: (*Filter parameter*)
The ID of the dataset to retrieve. The ID of the dataset to retrieve.
### Response ### Response
@ -1220,7 +1222,7 @@ curl --request POST \
The maximum number of chunks to retrieve. Defaults to `1024`. The maximum number of chunks to retrieve. Defaults to `1024`.
- `"similarity_threshold"`: (*Body parameter*) - `"similarity_threshold"`: (*Body parameter*)
The minimum similarity score. Defaults to `0.2`. The minimum similarity score. Defaults to `0.2`.
- `"vector_similarity_weight"`: (*Body parameter*), `weight` - `"vector_similarity_weight"`: (*Body parameter*), `float`
The weight of vector cosine similarity. Defaults to `0.3`. If x represents the vector cosine similarity, then (1 - x) is the term similarity weight. The weight of vector cosine similarity. Defaults to `0.3`. If x represents the vector cosine similarity, then (1 - x) is the term similarity weight.
- `"top_k"`: (*Body parameter*), `integer` - `"top_k"`: (*Body parameter*), `integer`
The number of chunks engaged in vector cosine computaton. Defaults to `1024`. The number of chunks engaged in vector cosine computaton. Defaults to `1024`.