56 lines
2.6 KiB
Python
56 lines
2.6 KiB
Python
"""
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知识库模型
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"""
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from sqlalchemy import Column, String, Text, Integer, Float, Boolean, JSON
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from app.base_model import BaseModel
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class KnowledgeBase(BaseModel):
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"""
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知识库
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管理文档集合,配置分块策略和检索参数
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"""
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__tablename__ = "ai_knowledge_base"
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application_id = Column(String(21), nullable=True, index=True, comment="所属应用ID(逻辑外键关联core_application)")
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is_global = Column(Boolean, default=False, comment="是否在子应用中可见")
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name = Column(String(100), nullable=False, comment="知识库名称")
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code = Column(String(100), nullable=False, unique=True, comment="知识库编码")
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description = Column(Text, nullable=True, comment="描述")
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icon = Column(String(50), default="", comment="图标")
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# Embedding 配置
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embedding_model_id = Column(String(21), nullable=True, comment="Embedding 模型ID(逻辑外键关联ai_llm_model)")
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embedding_dimensions = Column(Integer, default=1536, comment="向量维度")
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# 分块策略
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chunk_strategy = Column(String(20), default="recursive", comment="分块策略: recursive/semantic/markdown/fixed")
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chunk_size = Column(Integer, default=500, comment="分块大小(字符数)")
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chunk_overlap = Column(Integer, default=50, comment="分块重叠大小(字符数)")
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separator = Column(String(50), nullable=True, comment="自定义分隔符")
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# 检索配置
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retrieval_mode = Column(String(20), default="hybrid", comment="检索模式: vector/fulltext/hybrid")
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top_k = Column(Integer, default=5, comment="检索返回数量")
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score_threshold = Column(Float, default=0.5, comment="相似度阈值(0-1)")
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rerank_enabled = Column(Boolean, default=False, comment="是否启用重排序")
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rerank_model_id = Column(String(21), nullable=True, comment="重排序模型ID")
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retrieval_weight = Column(Float, default=1.0, comment="检索权重(多知识库检索时的加权系数,0.1-10.0)")
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# 预处理规则
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process_rules = Column(JSON, nullable=True, comment="预处理规则(清洗配置)")
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# 索引模式
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indexing_technique = Column(String(20), default="high_quality", comment="索引模式: high_quality/economy")
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# 统计
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document_count = Column(Integer, default=0, comment="文档数量")
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segment_count = Column(Integer, default=0, comment="分段数量")
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total_token_count = Column(Integer, default=0, comment="总 Token 数")
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total_char_count = Column(Integer, default=0, comment="总字符数")
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# 状态
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status = Column(String(20), default="active", comment="状态: active/disabled")
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