Package com.bytedesk.kbase.article.vector

Class ArticleVector

java.lang.Object
com.bytedesk.kbase.article.vector.ArticleVector
public class ArticleVector extends Object
文章向量索引实体类 用于在Elasticsearch中存储文章的向量表示

  • Field Details

    • uid

      private String uid

    • title

      @Field(type=Text) private String title

    • summary

      @Field(type=Text) private String summary

    • contentMarkdown

      @Field(type=Text) private String contentMarkdown

    • contentHtml

      @Field(type=Text) private String contentHtml

    • tagList

      @Field(type=Keyword) private List<String> tagList

    • orgUid

      @Field(type=Keyword) private String orgUid

    • kbUid

      @Field(type=Keyword) private String kbUid

    • categoryUid

      @Field(type=Keyword) private String categoryUid

    • enabled

      @Field(type=Boolean) private Boolean enabled

    • top

      @Field(type=Boolean) private Boolean top

    • titleEmbedding

      @Field(type=Dense_Vector, dims=1536) private float[] titleEmbedding

    • contentEmbedding

      @Field(type=Dense_Vector, dims=1536) private float[] contentEmbedding

    • startDate

      @Field(type=Keyword) private String startDate

    • endDate

      @Field(type=Keyword) private String endDate

    • readCount

      @Field(type=Integer) private Integer readCount

    • likeCount

      @Field(type=Integer) private Integer likeCount

  • Constructor Details

    • ArticleVector

      public ArticleVector()

  • Method Details

    • fromArticleEntity

      public static ArticleVector fromArticleEntity(ArticleEntity article)
      从ArticleEntity创建ArticleVector实体的静态方法 注意：向量嵌入需要单独计算并设置