Build lightweight AI agent admin

2026-06-08 18:14:59 +08:00
commit e164840f43
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+"""
+知识库模型
+"""
+from sqlalchemy import Column, String, Text, Integer, Float, Boolean, JSON
+
+from app.base_model import BaseModel
+
+
+class KnowledgeBase(BaseModel):
+    """
+    知识库
+    
+    管理文档集合，配置分块策略和检索参数
+    """
+    __tablename__ = "ai_knowledge_base"
+
+    application_id = Column(String(21), nullable=True, index=True, comment="所属应用ID（逻辑外键关联core_application）")
+    is_global = Column(Boolean, default=False, comment="是否在子应用中可见")
+    name = Column(String(100), nullable=False, comment="知识库名称")
+    code = Column(String(100), nullable=False, unique=True, comment="知识库编码")
+    description = Column(Text, nullable=True, comment="描述")
+    icon = Column(String(50), default="", comment="图标")
+
+    # Embedding 配置
+    embedding_model_id = Column(String(21), nullable=True, comment="Embedding 模型ID（逻辑外键关联ai_llm_model）")
+    embedding_dimensions = Column(Integer, default=1536, comment="向量维度")
+
+    # 分块策略
+    chunk_strategy = Column(String(20), default="recursive", comment="分块策略: recursive/semantic/markdown/fixed")
+    chunk_size = Column(Integer, default=500, comment="分块大小（字符数）")
+    chunk_overlap = Column(Integer, default=50, comment="分块重叠大小（字符数）")
+    separator = Column(String(50), nullable=True, comment="自定义分隔符")
+
+    # 检索配置
+    retrieval_mode = Column(String(20), default="hybrid", comment="检索模式: vector/fulltext/hybrid")
+    top_k = Column(Integer, default=5, comment="检索返回数量")
+    score_threshold = Column(Float, default=0.5, comment="相似度阈值（0-1）")
+    rerank_enabled = Column(Boolean, default=False, comment="是否启用重排序")
+    rerank_model_id = Column(String(21), nullable=True, comment="重排序模型ID")
+    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）")
+
+    # 预处理规则
+    process_rules = Column(JSON, nullable=True, comment="预处理规则（清洗配置）")
+
+    # 索引模式
+    indexing_technique = Column(String(20), default="high_quality", comment="索引模式: high_quality/economy")
+
+    # 统计
+    document_count = Column(Integer, default=0, comment="文档数量")
+    segment_count = Column(Integer, default=0, comment="分段数量")
+    total_token_count = Column(Integer, default=0, comment="总 Token 数")
+    total_char_count = Column(Integer, default=0, comment="总字符数")
+
+    # 状态
+    status = Column(String(20), default="active", comment="状态: active/disabled")