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【新增】AI 知识库: 配置自定义、段落启禁用
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@ -25,4 +25,11 @@ public class AiKnowledgeCreateMyReqVO {
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@NotNull(message = "嵌入模型不能为空")
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@NotNull(message = "嵌入模型不能为空")
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private Long modelId;
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private Long modelId;
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@Schema(description = "相似性阈值", requiredMode = Schema.RequiredMode.REQUIRED, example = "0.5")
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@NotNull(message = "相似性阈值不能为空")
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private Double similarityThreshold;
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@Schema(description = "topK", requiredMode = Schema.RequiredMode.REQUIRED, example = "3")
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@NotNull(message = "topK 不能为空")
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private Integer topK;
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}
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}
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@ -23,4 +23,23 @@ public class AiKnowledgeDocumentCreateReqVO {
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@URL(message = "文档 URL 格式不正确")
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@URL(message = "文档 URL 格式不正确")
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private String url;
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private String url;
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@Schema(description = "每个文本块的目标 token 数", requiredMode = Schema.RequiredMode.REQUIRED, example = "800")
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@NotNull(message = "每个文本块的目标 token 数不能为空")
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private Integer defaultChunkSize;
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@Schema(description = "每个文本块的最小字符数", requiredMode = Schema.RequiredMode.REQUIRED, example = "350")
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@NotNull(message = "每个文本块的最小字符数不能为空")
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private Integer minChunkSizeChars;
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@Schema(description = "丢弃阈值", requiredMode = Schema.RequiredMode.REQUIRED, example = "5")
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@NotNull(message = "丢弃阈值不能为空")
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private Integer minChunkLengthToEmbed;
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@Schema(description = "最大块数", requiredMode = Schema.RequiredMode.REQUIRED, example = "10000")
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@NotNull(message = "最大块数不能为空")
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private Integer maxNumChunks;
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@Schema(description = "分块是否保留分隔符", requiredMode = Schema.RequiredMode.REQUIRED, example = "true")
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@NotNull(message = "分块是否保留分隔符不能为空")
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private Boolean keepSeparator;
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}
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}
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@ -52,6 +52,18 @@ public class AiKnowledgeDO extends BaseDO {
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* 模型标识
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* 模型标识
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*/
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*/
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private String model;
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private String model;
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/**
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* topK
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*/
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private Integer topK;
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/**
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* 相似度阈值
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*/
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private Double similarityThreshold;
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/**
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/**
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* 状态
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* 状态
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* <p>
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* <p>
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@ -23,7 +23,7 @@ public class AiKnowledgeDocumentDO extends BaseDO {
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private Long id;
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private Long id;
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/**
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/**
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* 知识库编号
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* 知识库编号
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*
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* <p>
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* 关联 {@link AiKnowledgeDO#getId()}
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* 关联 {@link AiKnowledgeDO#getId()}
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*/
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*/
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private Long knowledgeId;
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private Long knowledgeId;
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@ -47,6 +47,26 @@ public class AiKnowledgeDocumentDO extends BaseDO {
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* 字符数
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* 字符数
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*/
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*/
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private Integer wordCount;
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private Integer wordCount;
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/**
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* 每个文本块的目标 token 数
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*/
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private Integer defaultChunkSize;
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/**
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* 每个文本块的最小字符数
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*/
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private Integer minChunkSizeChars;
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/**
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* 低于此值的块会被丢弃
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*/
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private Integer minChunkLengthToEmbed;
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/**
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* 最大块数
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*/
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private Integer maxNumChunks;
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/**
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* 分块是否保留分隔符
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*/
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private Boolean keepSeparator;
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/**
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/**
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* 切片状态
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* 切片状态
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* <p>
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* <p>
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@ -2,6 +2,8 @@ package cn.iocoder.yudao.module.ai.dal.dataobject.knowledge;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
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import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
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import com.baomidou.mybatisplus.annotation.FieldStrategy;
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import com.baomidou.mybatisplus.annotation.TableField;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableName;
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import com.baomidou.mybatisplus.annotation.TableName;
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import lombok.Data;
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import lombok.Data;
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@ -25,16 +27,17 @@ public class AiKnowledgeSegmentDO extends BaseDO {
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/**
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/**
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* 向量库的编号
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* 向量库的编号
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*/
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*/
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@TableField(updateStrategy = FieldStrategy.ALWAYS)
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private String vectorId;
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private String vectorId;
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/**
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/**
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* 知识库编号
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* 知识库编号
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*
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* <p>
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* 关联 {@link AiKnowledgeDO#getId()}
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* 关联 {@link AiKnowledgeDO#getId()}
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*/
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*/
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private Long knowledgeId;
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private Long knowledgeId;
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/**
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/**
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* 文档编号
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* 文档编号
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*
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* <p>
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* 关联 {@link AiKnowledgeDocumentDO#getId()}
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* 关联 {@link AiKnowledgeDocumentDO#getId()}
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*/
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*/
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private Long documentId;
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private Long documentId;
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@ -52,7 +55,7 @@ public class AiKnowledgeSegmentDO extends BaseDO {
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private Integer tokens;
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private Integer tokens;
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/**
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/**
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* 状态
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* 状态
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*
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* <p>
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* 枚举 {@link CommonStatusEnum}
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* 枚举 {@link CommonStatusEnum}
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*/
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*/
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private Integer status;
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private Integer status;
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@ -9,15 +9,11 @@ import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentPageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentUpdateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.document.AiKnowledgeDocumentUpdateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeDocumentCreateReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeDocumentCreateReqVO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDocumentDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeSegmentDO;
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import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
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import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeDocumentMapper;
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import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeDocumentMapper;
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import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
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import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeSegmentMapper;
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import cn.iocoder.yudao.module.ai.enums.knowledge.AiKnowledgeDocumentStatusEnum;
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import cn.iocoder.yudao.module.ai.enums.knowledge.AiKnowledgeDocumentStatusEnum;
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import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
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import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
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import jakarta.annotation.Resource;
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import jakarta.annotation.Resource;
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import lombok.extern.slf4j.Slf4j;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.ai.document.Document;
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import org.springframework.ai.document.Document;
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@ -48,24 +44,16 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
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@Resource
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@Resource
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private AiKnowledgeSegmentMapper segmentMapper;
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private AiKnowledgeSegmentMapper segmentMapper;
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@Resource
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private TokenTextSplitter tokenTextSplitter;
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@Resource
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@Resource
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private TokenCountEstimator tokenCountEstimator;
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private TokenCountEstimator tokenCountEstimator;
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@Resource
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private AiApiKeyService apiKeyService;
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@Resource
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@Resource
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private AiKnowledgeService knowledgeService;
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private AiKnowledgeService knowledgeService;
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@Resource
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private AiChatModelService chatModelService;
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@Override
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@Override
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@Transactional(rollbackFor = Exception.class)
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@Transactional(rollbackFor = Exception.class)
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public Long createKnowledgeDocument(AiKnowledgeDocumentCreateReqVO createReqVO) {
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public Long createKnowledgeDocument(AiKnowledgeDocumentCreateReqVO createReqVO) {
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// 0. 校验
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// 0. 校验并获取向量存储实例
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AiKnowledgeDO knowledge = knowledgeService.validateKnowledgeExists(createReqVO.getKnowledgeId());
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VectorStore vectorStore = knowledgeService.getVectorStoreById(createReqVO.getKnowledgeId());
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AiChatModelDO model = chatModelService.validateChatModel(knowledge.getModelId());
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// 1.1 下载文档
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// 1.1 下载文档
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TikaDocumentReader loader = new TikaDocumentReader(downloadFile(createReqVO.getUrl()));
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TikaDocumentReader loader = new TikaDocumentReader(downloadFile(createReqVO.getUrl()));
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@ -82,6 +70,9 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
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return documentId;
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return documentId;
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}
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}
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// 2 构造文本分段器
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TokenTextSplitter tokenTextSplitter = new TokenTextSplitter(createReqVO.getDefaultChunkSize(), createReqVO.getMinChunkSizeChars(), createReqVO.getMinChunkLengthToEmbed(),
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createReqVO.getMaxNumChunks(), createReqVO.getKeepSeparator());
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// 2.1 文档分段
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// 2.1 文档分段
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List<Document> segments = tokenTextSplitter.apply(documents);
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List<Document> segments = tokenTextSplitter.apply(documents);
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// 2.2 分段内容入库
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// 2.2 分段内容入库
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@ -92,8 +83,6 @@ public class AiKnowledgeDocumentServiceImpl implements AiKnowledgeDocumentServic
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.setStatus(CommonStatusEnum.ENABLE.getStatus()));
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.setStatus(CommonStatusEnum.ENABLE.getStatus()));
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segmentMapper.insertBatch(segmentDOList);
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segmentMapper.insertBatch(segmentDOList);
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// 3.1 获取向量存储实例
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VectorStore vectorStore = apiKeyService.getOrCreateVectorStore(model.getKeyId());
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// 3.2 向量化并存储
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// 3.2 向量化并存储
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segments.forEach(segment -> segment.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, createReqVO.getKnowledgeId()));
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segments.forEach(segment -> segment.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, createReqVO.getKnowledgeId()));
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vectorStore.add(segments);
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vectorStore.add(segments);
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@ -2,6 +2,7 @@ package cn.iocoder.yudao.module.ai.service.knowledge;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.collection.CollUtil;
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import cn.hutool.core.collection.ListUtil;
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import cn.hutool.core.collection.ListUtil;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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import cn.iocoder.yudao.framework.common.pojo.PageResult;
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import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
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import cn.iocoder.yudao.framework.common.util.object.BeanUtils;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
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import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.segment.AiKnowledgeSegmentPageReqVO;
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@ -23,6 +24,10 @@ import org.springframework.ai.vectorstore.filter.FilterExpressionBuilder;
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import org.springframework.stereotype.Service;
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import org.springframework.stereotype.Service;
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import java.util.List;
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import java.util.List;
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import java.util.Objects;
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import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
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import static cn.iocoder.yudao.module.ai.enums.ErrorCodeConstants.KNOWLEDGE_SEGMENT_NOT_EXISTS;
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/**
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/**
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* AI 知识库分片 Service 实现类
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* AI 知识库分片 Service 实现类
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@ -50,14 +55,45 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
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@Override
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@Override
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public void updateKnowledgeSegment(AiKnowledgeSegmentUpdateReqVO reqVO) {
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public void updateKnowledgeSegment(AiKnowledgeSegmentUpdateReqVO reqVO) {
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segmentMapper.updateById(BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class));
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// 0 校验
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// TODO @xin 重新向量化
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AiKnowledgeSegmentDO oldKnowledgeSegment = validateKnowledgeSegmentExists(reqVO.getId());
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// 2.1 获取知识库向量实例
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VectorStore vectorStore = knowledgeService.getVectorStoreById(oldKnowledgeSegment.getKnowledgeId());
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// 2.2 删除原向量
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vectorStore.delete(List.of(oldKnowledgeSegment.getVectorId()));
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// 2.3 重新向量化
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Document document = new Document(reqVO.getContent());
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document.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, oldKnowledgeSegment.getKnowledgeId());
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vectorStore.add(List.of(document));
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// 2.1 更新段落内容
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AiKnowledgeSegmentDO knowledgeSegment = BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class);
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knowledgeSegment.setVectorId(document.getId());
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segmentMapper.updateById(knowledgeSegment);
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}
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}
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@Override
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@Override
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public void updateKnowledgeSegmentStatus(AiKnowledgeSegmentUpdateStatusReqVO reqVO) {
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public void updateKnowledgeSegmentStatus(AiKnowledgeSegmentUpdateStatusReqVO reqVO) {
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segmentMapper.updateById(BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class));
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// 0 校验
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// TODO @xin 1.禁用删除向量 2.启用重新向量化
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AiKnowledgeSegmentDO oldKnowledgeSegment = validateKnowledgeSegmentExists(reqVO.getId());
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// 1 获取知识库向量实例
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VectorStore vectorStore = knowledgeService.getVectorStoreById(oldKnowledgeSegment.getKnowledgeId());
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AiKnowledgeSegmentDO knowledgeSegment = BeanUtils.toBean(reqVO, AiKnowledgeSegmentDO.class);
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if (Objects.equals(reqVO.getStatus(), CommonStatusEnum.ENABLE.getStatus())) {
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// 2.1 启用重新向量化
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Document document = new Document(oldKnowledgeSegment.getContent());
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document.getMetadata().put(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, oldKnowledgeSegment.getKnowledgeId());
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vectorStore.add(List.of(document));
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knowledgeSegment.setVectorId(document.getId());
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} else {
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// 2.2 禁用删除向量
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vectorStore.delete(List.of(oldKnowledgeSegment.getVectorId()));
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knowledgeSegment.setVectorId(null);
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}
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// 3 更新段落状态
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segmentMapper.updateById(knowledgeSegment);
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}
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}
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@Override
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@Override
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@ -71,9 +107,8 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
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// 1.2 向量检索
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// 1.2 向量检索
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List<Document> documentList = vectorStore.similaritySearch(SearchRequest.query(reqVO.getContent())
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List<Document> documentList = vectorStore.similaritySearch(SearchRequest.query(reqVO.getContent())
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//TODO @xin 配置提取
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.withTopK(knowledge.getTopK())
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.withTopK(5)
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.withSimilarityThreshold(knowledge.getSimilarityThreshold())
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.withSimilarityThreshold(0.5d)
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.withFilterExpression(new FilterExpressionBuilder().eq(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, reqVO.getKnowledgeId()).build()));
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.withFilterExpression(new FilterExpressionBuilder().eq(AiKnowledgeSegmentDO.FIELD_KNOWLEDGE_ID, reqVO.getKnowledgeId()).build()));
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if (CollUtil.isEmpty(documentList)) {
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if (CollUtil.isEmpty(documentList)) {
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return ListUtil.empty();
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return ListUtil.empty();
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@ -81,4 +116,19 @@ public class AiKnowledgeSegmentServiceImpl implements AiKnowledgeSegmentService
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// 2.1 段落召回
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// 2.1 段落召回
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return segmentMapper.selectList(CollUtil.getFieldValues(documentList, "id", String.class));
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return segmentMapper.selectList(CollUtil.getFieldValues(documentList, "id", String.class));
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}
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}
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/**
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* 校验段落是否存在
|
||||||
|
*
|
||||||
|
* @param id 文档编号
|
||||||
|
* @return 段落信息
|
||||||
|
*/
|
||||||
|
private AiKnowledgeSegmentDO validateKnowledgeSegmentExists(Long id) {
|
||||||
|
AiKnowledgeSegmentDO knowledgeSegment = segmentMapper.selectById(id);
|
||||||
|
if (knowledgeSegment == null) {
|
||||||
|
throw exception(KNOWLEDGE_SEGMENT_NOT_EXISTS);
|
||||||
|
}
|
||||||
|
return knowledgeSegment;
|
||||||
|
}
|
||||||
}
|
}
|
||||||
|
@ -5,6 +5,7 @@ import cn.iocoder.yudao.framework.common.pojo.PageResult;
|
|||||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeCreateMyReqVO;
|
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeCreateMyReqVO;
|
||||||
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeUpdateMyReqVO;
|
import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnowledgeUpdateMyReqVO;
|
||||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||||
|
import org.springframework.ai.vectorstore.VectorStore;
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* AI 知识库-基础信息 Service 接口
|
* AI 知识库-基础信息 Service 接口
|
||||||
@ -47,4 +48,12 @@ public interface AiKnowledgeService {
|
|||||||
* @return 知识库分页
|
* @return 知识库分页
|
||||||
*/
|
*/
|
||||||
PageResult<AiKnowledgeDO> getKnowledgePageMy(Long userId, PageParam pageReqVO);
|
PageResult<AiKnowledgeDO> getKnowledgePageMy(Long userId, PageParam pageReqVO);
|
||||||
|
|
||||||
|
/**
|
||||||
|
* 根据知识库编号获取向量存储实例
|
||||||
|
*
|
||||||
|
* @param knowledgeId 知识库编号
|
||||||
|
* @return 向量存储实例
|
||||||
|
*/
|
||||||
|
VectorStore getVectorStoreById(Long knowledgeId);
|
||||||
}
|
}
|
||||||
|
@ -10,9 +10,11 @@ import cn.iocoder.yudao.module.ai.controller.admin.knowledge.vo.knowledge.AiKnow
|
|||||||
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
import cn.iocoder.yudao.module.ai.dal.dataobject.knowledge.AiKnowledgeDO;
|
||||||
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
|
import cn.iocoder.yudao.module.ai.dal.dataobject.model.AiChatModelDO;
|
||||||
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeMapper;
|
import cn.iocoder.yudao.module.ai.dal.mysql.knowledge.AiKnowledgeMapper;
|
||||||
|
import cn.iocoder.yudao.module.ai.service.model.AiApiKeyService;
|
||||||
import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
|
import cn.iocoder.yudao.module.ai.service.model.AiChatModelService;
|
||||||
import jakarta.annotation.Resource;
|
import jakarta.annotation.Resource;
|
||||||
import lombok.extern.slf4j.Slf4j;
|
import lombok.extern.slf4j.Slf4j;
|
||||||
|
import org.springframework.ai.vectorstore.VectorStore;
|
||||||
import org.springframework.stereotype.Service;
|
import org.springframework.stereotype.Service;
|
||||||
|
|
||||||
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
import static cn.iocoder.yudao.framework.common.exception.util.ServiceExceptionUtil.exception;
|
||||||
@ -32,6 +34,10 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
|
|||||||
|
|
||||||
@Resource
|
@Resource
|
||||||
private AiKnowledgeMapper knowledgeMapper;
|
private AiKnowledgeMapper knowledgeMapper;
|
||||||
|
@Resource
|
||||||
|
private AiChatModelService chatModelService;
|
||||||
|
@Resource
|
||||||
|
private AiApiKeyService apiKeyService;
|
||||||
|
|
||||||
@Override
|
@Override
|
||||||
public Long createKnowledgeMy(AiKnowledgeCreateMyReqVO createReqVO, Long userId) {
|
public Long createKnowledgeMy(AiKnowledgeCreateMyReqVO createReqVO, Long userId) {
|
||||||
@ -75,4 +81,11 @@ public class AiKnowledgeServiceImpl implements AiKnowledgeService {
|
|||||||
return knowledgeMapper.selectPageByMy(userId, pageReqVO);
|
return knowledgeMapper.selectPageByMy(userId, pageReqVO);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Override
|
||||||
|
public VectorStore getVectorStoreById(Long knowledgeId) {
|
||||||
|
AiKnowledgeDO knowledge = validateKnowledgeExists(knowledgeId);
|
||||||
|
AiChatModelDO model = chatModelService.validateChatModel(knowledge.getModelId());
|
||||||
|
return apiKeyService.getOrCreateVectorStore(model.getKeyId());
|
||||||
|
}
|
||||||
|
|
||||||
}
|
}
|
||||||
|
Loading…
Reference in New Issue
Block a user