package cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge;

import io.swagger.v3.oas.annotations.media.Schema;
import lombok.Data;
import java.time.LocalDateTime;

@Schema(description = "管理后台 - AI 知识库 Response VO")
@Data
public class AiKnowledgeRespVO {

    @Schema(description = "编号", example = "1")
    private Long id;

    @Schema(description = "知识库名称", example = "产品文档")
    private String name;

    @Schema(description = "知识库描述", example = "产品相关文档")
    private String description;

    @Schema(description = "向量模型编号", example = "1")
    private Long embeddingModelId;

    @Schema(description = "向量模型标识", example = "text-embedding-v3")
    private String embeddingModel;

    @Schema(description = "TopK", example = "3")
    private Integer topK;

    @Schema(description = "相似度阈值", example = "0.7")
    private Double similarityThreshold;

    @Schema(description = "状态", example = "0")
    private Integer status;

    @Schema(description = "创建时间")
    private LocalDateTime createTime;

}