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更新向量维度及嵌入模型版本

wangyunpeng vor 3 Stunden
Ursprung
Commit
43add564f5

+ 1 - 1
core/src/main/java/com/tzld/videoVector/api/EmbeddingApiService.java

@@ -27,7 +27,7 @@ public class EmbeddingApiService {
     @Value("${embedding.api.url:http://192.168.100.31:8000/v1/embeddings}")
     private String apiUrl;
 
-    @Value("${embedding.api.model:/models/Qwen3-Embedding-0.6B}")
+    @Value("${embedding.api.model:/models/Qwen3-Embedding-4B}")
     private String model;
 
     @Value("${embedding.api.timeout:60}")

+ 1 - 1
core/src/main/java/com/tzld/videoVector/model/po/videoVector/deconstruct/DeconstructContentVector.java

@@ -98,7 +98,7 @@ public class DeconstructContentVector {
 
     /**
      * Database Column Remarks:
-     *   使用的嵌入模型:Qwen3-Embedding-0.6B等
+     *   使用的嵌入模型:Qwen3-Embedding-4B等
      *
      * This field was generated by MyBatis Generator.
      * This field corresponds to the database column deconstruct_content_vector.embedding_model

+ 1 - 1
core/src/main/java/com/tzld/videoVector/service/impl/EmbeddingServiceImpl.java

@@ -23,7 +23,7 @@ public class EmbeddingServiceImpl implements EmbeddingService {
     /**
      * 向量维度
      */
-    @Value("${embedding.dimension:1024}")
+    @Value("${embedding.dimension:2560}")
     private int dimension;
 
     /**

+ 1 - 1
core/src/main/java/com/tzld/videoVector/service/impl/VectorizeServiceImpl.java

@@ -113,7 +113,7 @@ public class VectorizeServiceImpl implements VectorizeService {
 
         String embeddingModel = config.getEmbeddingModel();
         if (!StringUtils.hasText(embeddingModel)) {
-            embeddingModel = "Qwen3-Embedding-0.6B";
+            embeddingModel = "Qwen3-Embedding-4B";
         }
 
         int segmentIndex = 0;

+ 2 - 2
server/src/main/resources/application.yml

@@ -100,10 +100,10 @@ cdn:
     domain: https://weappupload.piaoquantv.com/
 
 embedding:
-  dimension: 1024    # 向量维度
+  dimension: 2560    # 向量维度
   ngram: 2          # N-gram 大小
   mode: api         # 向量化模式:local(本地N-gram哈希) 或 api(远程API)
   api:
     url: http://192.168.100.31:8000/v1/embeddings  # 向量化API地址
-    model: /models/Qwen3-Embedding-0.6B            # 模型路径
+    model: /models/Qwen3-Embedding-4B            # 模型路径
     timeout: 60                                    # 超时时间(秒)