# Knowledge Retrieval Node Configuration
# This file defines the metadata for the Knowledge Retrieval workflow node
# The corresponding Python implementation is in: pkg/workflow/nodes/knowledge_retrieval.py

name: knowledge_retrieval
label:
  en_US: Knowledge Retrieval
  zh_Hans: 知识库检索
category: process
icon: Search
color: '#8b5cf6'
description:
  en_US: Retrieve relevant information from knowledge bases
  zh_Hans: 从知识库中检索相关信息

inputs:
  - name: query
    type: string
    label:
      en_US: Query
      zh_Hans: 查询
    description:
      en_US: Query text to search for
      zh_Hans: 要搜索的查询文本

outputs:
  - name: results
    type: array
    label:
      en_US: Results
      zh_Hans: 结果
    description:
      en_US: Retrieved documents/chunks
      zh_Hans: 检索到的文档/块
  - name: context
    type: string
    label:
      en_US: Context
      zh_Hans: 上下文
    description:
      en_US: Concatenated text from all results
      zh_Hans: 所有结果的连接文本
  - name: scores
    type: array
    label:
      en_US: Scores
      zh_Hans: 分数
    description:
      en_US: Similarity scores for each result
      zh_Hans: 每个结果的相似度分数

config:
  - name: knowledge_bases
    type: knowledge-base-multi-selector
    required: true
    default: []
    label:
      en_US: Knowledge Bases
      zh_Hans: 知识库
    description:
      en_US: Select knowledge bases to search
      zh_Hans: 选择要搜索的知识库

  - name: top_k
    type: integer
    default: 5
    label:
      en_US: Top K Results
      zh_Hans: 返回数量 (Top K)
    description:
      en_US: Number of top results to retrieve
      zh_Hans: 返回的最相关结果数量

  - name: similarity_threshold
    type: number
    default: 0.5
    label:
      en_US: Similarity Threshold
      zh_Hans: 相似度阈值
    description:
      en_US: Minimum similarity score for results
      zh_Hans: 结果的最小相似度分数

  - name: retrieval_mode
    type: select
    default: vector
    options:
      - vector
      - hybrid
      - keyword
    label:
      en_US: Retrieval Mode
      zh_Hans: 检索模式
    description:
      en_US: Method used for retrieving documents
      zh_Hans: 用于检索文档的方法

  - name: rerank_enabled
    type: boolean
    default: false
    label:
      en_US: Enable Reranking
      zh_Hans: 启用重排序
    description:
      en_US: Use a reranking model to improve result relevance
      zh_Hans: 使用重排序模型提高结果相关性

  - name: rerank_model
    type: rerank-model-selector
    default: ""
    label:
      en_US: Rerank Model
      zh_Hans: 重排序模型
    description:
      en_US: Model to use for reranking results
      zh_Hans: 用于结果重排序的模型
    show_if:
      rerank_enabled: true