fix: Add datasets list access control and fix datasets config display issue (#12533)
Co-authored-by: nite-knite <nkCoding@gmail.com>
This commit is contained in:
@@ -1,5 +1,5 @@
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import { CodeGroup } from '@/app/components/develop/code.tsx'
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import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
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import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
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# Knowledge API
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@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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- <code>max_tokens</code> The maximum length (tokens) must be validated to be shorter than the length of the parent chunk
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- <code>chunk_overlap</code> Define the overlap between adjacent chunks (optional)
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</Property>
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<PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
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<Property name='retrieval_model' type='object' key='retrieval_model'>
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Retrieval model
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- <code>search_method</code> (string) Search method
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- <code>hybrid_search</code> Hybrid search
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- <code>semantic_search</code> Semantic search
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- <code>full_text_search</code> Full-text search
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- <code>reranking_enable</code> (bool) Whether to enable reranking
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- <code>reranking_mode</code> (object) Rerank model configuration
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- <code>reranking_provider_name</code> (string) Rerank model provider
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- <code>reranking_model_name</code> (string) Rerank model name
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- <code>top_k</code> (int) Number of results to return
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- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
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- <code>score_threshold</code> (float) Score threshold
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</Property>
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<Property name='embedding_model' type='string' key='embedding_model'>
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Embedding model name
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</Property>
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<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
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Embedding model provider
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</Property>
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</Properties>
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</Col>
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<Col sticky>
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@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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<Property name='file' type='multipart/form-data' key='file'>
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Files that need to be uploaded.
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</Property>
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<PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
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<Property name='retrieval_model' type='object' key='retrieval_model'>
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Retrieval model
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- <code>search_method</code> (string) Search method
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- <code>hybrid_search</code> Hybrid search
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- <code>semantic_search</code> Semantic search
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- <code>full_text_search</code> Full-text search
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- <code>reranking_enable</code> (bool) Whether to enable reranking
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- <code>reranking_mode</code> (object) Rerank model configuration
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- <code>reranking_provider_name</code> (string) Rerank model provider
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- <code>reranking_model_name</code> (string) Rerank model name
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- <code>top_k</code> (int) Number of results to return
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- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
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- <code>score_threshold</code> (float) Score threshold
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</Property>
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<Property name='embedding_model' type='string' key='embedding_model'>
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Embedding model name
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</Property>
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<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
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Embedding model provider
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</Property>
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</Properties>
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</Col>
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<Col sticky>
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@@ -1188,10 +1230,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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- <code>reranking_mode</code> (object) Rerank model configuration, required if reranking is enabled
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- <code>reranking_provider_name</code> (string) Rerank model provider
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- <code>reranking_model_name</code> (string) Rerank model name
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- <code>weights</code> (double) Semantic search weight setting in hybrid search mode
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- <code>weights</code> (float) Semantic search weight setting in hybrid search mode
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- <code>top_k</code> (integer) Number of results to return (optional)
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- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
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- <code>score_threshold</code> (double) Score threshold
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- <code>score_threshold</code> (float) Score threshold
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</Property>
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<Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
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Unused field
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@@ -1,5 +1,5 @@
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import { CodeGroup } from '@/app/components/develop/code.tsx'
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import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
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import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
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# 知识库 API
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@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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- <code>max_tokens</code> 最大长度 (token) 需要校验小于父级的长度
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- <code>chunk_overlap</code> 分段重叠指的是在对数据进行分段时,段与段之间存在一定的重叠部分(选填)
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</Property>
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<PropertyInstruction>当知识库未设置任何参数的时候,首次上传需要提供以下参数,未提供则使用默认选项:</PropertyInstruction>
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<Property name='retrieval_model' type='object' key='retrieval_model'>
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检索模式
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- <code>search_method</code> (string) 检索方法
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- <code>hybrid_search</code> 混合检索
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- <code>semantic_search</code> 语义检索
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- <code>full_text_search</code> 全文检索
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- <code>reranking_enable</code> (bool) 是否开启rerank
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- <code>reranking_model</code> (object) Rerank 模型配置
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- <code>reranking_provider_name</code> (string) Rerank 模型的提供商
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- <code>reranking_model_name</code> (string) Rerank 模型的名称
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- <code>top_k</code> (int) 召回条数
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- <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
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- <code>score_threshold</code> (float) 召回分数限制
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</Property>
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<Property name='embedding_model' type='string' key='embedding_model'>
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Embedding 模型名称
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</Property>
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<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
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Embedding 模型供应商
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</Property>
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</Properties>
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</Col>
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<Col sticky>
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@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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<Property name='file' type='multipart/form-data' key='file'>
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需要上传的文件。
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</Property>
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<PropertyInstruction>当知识库未设置任何参数的时候,首次上传需要提供以下参数,未提供则使用默认选项:</PropertyInstruction>
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<Property name='retrieval_model' type='object' key='retrieval_model'>
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检索模式
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- <code>search_method</code> (string) 检索方法
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- <code>hybrid_search</code> 混合检索
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- <code>semantic_search</code> 语义检索
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- <code>full_text_search</code> 全文检索
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- <code>reranking_enable</code> (bool) 是否开启rerank
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- <code>reranking_model</code> (object) Rerank 模型配置
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- <code>reranking_provider_name</code> (string) Rerank 模型的提供商
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- <code>reranking_model_name</code> (string) Rerank 模型的名称
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- <code>top_k</code> (int) 召回条数
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- <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
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- <code>score_threshold</code> (float) 召回分数限制
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</Property>
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<Property name='embedding_model' type='string' key='embedding_model'>
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Embedding 模型名称
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</Property>
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<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
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Embedding 模型供应商
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</Property>
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</Properties>
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</Col>
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<Col sticky>
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@@ -1186,13 +1228,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
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- <code>full_text_search</code> 全文检索
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- <code>hybrid_search</code> 混合检索
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- <code>reranking_enable</code> (bool) 是否启用 Reranking,非必填,如果检索模式为 semantic_search 模式或者 hybrid_search 则传值
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- <code>reranking_mode</code> (object) Rerank模型配置,非必填,如果启用了 reranking 则传值
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- <code>reranking_mode</code> (object) Rerank 模型配置,非必填,如果启用了 reranking 则传值
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- <code>reranking_provider_name</code> (string) Rerank 模型提供商
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- <code>reranking_model_name</code> (string) Rerank 模型名称
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- <code>weights</code> (double) 混合检索模式下语意检索的权重设置
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- <code>weights</code> (float) 混合检索模式下语意检索的权重设置
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- <code>top_k</code> (integer) 返回结果数量,非必填
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- <code>score_threshold_enabled</code> (bool) 是否开启 score 阈值
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- <code>score_threshold</code> (double) Score 阈值
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- <code>score_threshold</code> (float) Score 阈值
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</Property>
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<Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
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未启用字段
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