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Typer_Body
119 lines
2.8 KiB
YAML
119 lines
2.8 KiB
YAML
# Knowledge Retrieval Node Configuration
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# This file defines the metadata for the Knowledge Retrieval workflow node
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# The corresponding Python implementation is in: pkg/workflow/nodes/knowledge_retrieval.py
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name: knowledge_retrieval
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label:
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en_US: Knowledge Retrieval
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zh_Hans: 知识库检索
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category: process
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icon: Search
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color: '#8b5cf6'
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description:
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en_US: Retrieve relevant information from knowledge bases
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zh_Hans: 从知识库中检索相关信息
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inputs:
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- name: query
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type: string
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label:
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en_US: Query
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zh_Hans: 查询
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description:
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en_US: Query text to search for
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zh_Hans: 要搜索的查询文本
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outputs:
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- name: results
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type: array
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label:
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en_US: Results
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zh_Hans: 结果
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description:
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en_US: Retrieved documents/chunks
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zh_Hans: 检索到的文档/块
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- name: context
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type: string
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label:
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en_US: Context
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zh_Hans: 上下文
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description:
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en_US: Concatenated text from all results
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zh_Hans: 所有结果的连接文本
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- name: scores
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type: array
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label:
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en_US: Scores
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zh_Hans: 分数
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description:
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en_US: Similarity scores for each result
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zh_Hans: 每个结果的相似度分数
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config:
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- name: knowledge_bases
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type: knowledge-base-multi-selector
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required: true
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default: []
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label:
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en_US: Knowledge Bases
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zh_Hans: 知识库
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description:
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en_US: Select knowledge bases to search
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zh_Hans: 选择要搜索的知识库
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- name: top_k
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type: integer
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default: 5
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label:
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en_US: Top K Results
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zh_Hans: 返回数量 (Top K)
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description:
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en_US: Number of top results to retrieve
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zh_Hans: 返回的最相关结果数量
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- name: similarity_threshold
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type: number
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default: 0.5
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label:
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en_US: Similarity Threshold
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zh_Hans: 相似度阈值
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description:
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en_US: Minimum similarity score for results
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zh_Hans: 结果的最小相似度分数
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- name: retrieval_mode
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type: select
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default: vector
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options:
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- vector
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- hybrid
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- keyword
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label:
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en_US: Retrieval Mode
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zh_Hans: 检索模式
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description:
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en_US: Method used for retrieving documents
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zh_Hans: 用于检索文档的方法
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- name: rerank_enabled
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type: boolean
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default: false
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label:
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en_US: Enable Reranking
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zh_Hans: 启用重排序
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description:
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en_US: Use a reranking model to improve result relevance
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zh_Hans: 使用重排序模型提高结果相关性
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- name: rerank_model
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type: rerank-model-selector
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default: ""
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label:
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en_US: Rerank Model
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zh_Hans: 重排序模型
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description:
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en_US: Model to use for reranking results
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zh_Hans: 用于结果重排序的模型
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show_if:
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rerank_enabled: true
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