package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;
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import io.swagger.v3.oas.annotations.media.Schema;
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import lombok.Data;
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import java.time.LocalDateTime;
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@Schema(description = "管理后台 - AI 知识库 Response VO")
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@Data
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public class AiKnowledgeRespVO {
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@Schema(description = "编号", example = "1")
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private Long id;
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@Schema(description = "知识库名称", example = "产品文档")
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private String name;
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@Schema(description = "知识库描述", example = "产品相关文档")
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private String description;
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@Schema(description = "向量模型编号", example = "1")
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private Long embeddingModelId;
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@Schema(description = "向量模型标识", example = "text-embedding-v3")
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private String embeddingModel;
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@Schema(description = "TopK", example = "3")
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private Integer topK;
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@Schema(description = "相似度阈值", example = "0.7")
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private Double similarityThreshold;
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@Schema(description = "状态", example = "0")
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private Integer status;
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@Schema(description = "创建时间")
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private LocalDateTime createTime;
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}
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