fix: align vectorstore live retrieval

src/main/java/com/superbiz/agent/service/VectorSearchService.java

@@ -106,7 +106,7 @@ public class VectorSearchService {
             result.setMetadata(toJson(document.getMetadata()));
             result.setRawScore(document.getScore());
             result.setScoreLabel("similarity");
-            result.setScore(toCompatibleL2Distance(document.getScore()));
+            result.setScore(toCompatibleL2Distance(document));
             results.add(result);
         }
         logger.info("Spring AI VectorStore search complete, candidates={}", results.size());
@@ -166,6 +166,14 @@ public class VectorSearchService {
         }
     }
 
+    private float toCompatibleL2Distance(Document document) {
+        Double distance = extractDistance(document.getMetadata());
+        if (distance != null) {
+            return distance.floatValue();
+        }
+        return toCompatibleL2Distance(document.getScore());
+    }
+
     private float toCompatibleL2Distance(Double similarity) {
         if (similarity == null) {
             return (float) maxL2Distance;
@@ -174,6 +182,24 @@ public class VectorSearchService {
         return (float) ((1.0 - bounded) * maxL2Distance);
     }
 
+    private Double extractDistance(Map<String, Object> metadata) {
+        if (metadata == null) {
+            return null;
+        }
+        Object value = metadata.get("distance");
+        if (value instanceof Number number) {
+            return number.doubleValue();
+        }
+        if (value instanceof String text) {
+            try {
+                return Double.parseDouble(text);
+            } catch (NumberFormatException ignored) {
+                return null;
+            }
+        }
+        return null;
+    }
+
     private String toJson(Map<String, Object> metadata) {
         if (metadata == null || metadata.isEmpty()) {
             return null;
@@ -196,8 +222,8 @@ public class VectorSearchService {
         private String content;
         /**
          * Compatibility score used by existing lookup relevance normalization.
-         * SDK mode keeps L2 distance; VectorStore mode maps similarity into a
+         * SDK mode keeps L2 distance; VectorStore mode prefers the Milvus
-         * L2-like distance using retrieval.normalization.max-l2-distance.
+         * distance metadata and falls back to similarity mapping.
          */
         private float score;
         private Double rawScore;

src/main/resources/application.yml

@@ -98,7 +98,7 @@ spring:
       milvus:
         initialize-schema: false
         database-name: ${milvus.database}
-        collection-name: business_knowledge
+        collection-name: biz
         embedding-dimension: ${milvus.vector-dim}
         index-type: IVF_FLAT
         metric-type: L2

src/test/java/com/superbiz/agent/service/VectorSearchServiceTest.java

@@ -67,6 +67,32 @@ class VectorSearchServiceTest {
         assertTrue(results.get(0).getMetadata().contains("spring.md"));
     }
 
+    @Test
+    void vectorStoreSearchUsesDistanceMetadataAsCompatibleScore() {
+        VectorStore vectorStore = mock(VectorStore.class);
+        ObjectProvider<VectorStore> provider = mock(ObjectProvider.class);
+        when(provider.getIfAvailable()).thenReturn(vectorStore);
+        when(vectorStore.similaritySearch(any(SearchRequest.class))).thenReturn(List.of(
+                Document.builder()
+                        .id("spring-doc")
+                        .text("spring content")
+                        .metadata(Map.of("distance", 0.5659486, "category", "api"))
+                        .score(0.4340514)
+                        .build()
+        ));
+
+        VectorSearchService service = new VectorSearchService();
+        setMode(service, "auto");
+        setVectorStore(service, provider);
+
+        List<VectorSearchService.SearchResult> results = service.searchSimilarDocuments("query", 3, null);
+
+        assertEquals(1, results.size());
+        assertEquals("similarity", results.get(0).getScoreLabel());
+        assertEquals(0.4340514, results.get(0).getRawScore(), 0.0001);
+        assertEquals(0.5659486f, results.get(0).getScore(), 0.0001);
+    }
+
     @Test
     void autoModeFallsBackToSdkWhenVectorStoreFails() {
         VectorStore vectorStore = mock(VectorStore.class);