diff --git a/client/faq.go b/client/faq.go
index a0fc1fbd..2d8301f7 100644
--- a/client/faq.go
+++ b/client/faq.go
@@ -31,6 +31,9 @@ type FAQEntry struct {
 	Score             float64   `json:"score,omitempty"`
 	MatchType         string    `json:"match_type,omitempty"`
 	ChunkType         string    `json:"chunk_type"`
+	// MatchedQuestion is the actual question text that was matched in FAQ search
+	// Could be the standard question or one of the similar questions
+	MatchedQuestion string `json:"matched_question,omitempty"`
 }
 
 // FAQEntryPayload is used to create or update a FAQ entry.
diff --git a/client/knowledgebase.go b/client/knowledgebase.go
index 6412c4b4..10660a7f 100644
--- a/client/knowledgebase.go
+++ b/client/knowledgebase.go
@@ -127,6 +127,9 @@ type SearchResult struct {
 	Metadata          map[string]string `json:"metadata"`
 	KnowledgeFilename string            `json:"knowledge_filename"`
 	KnowledgeSource   string            `json:"knowledge_source"`
+	// MatchedContent is the actual content that was matched in vector search
+	// For FAQ: this is the matched question text (standard or similar question)
+	MatchedContent string `json:"matched_content,omitempty"`
 }
 
 // HybridSearchResponse hybrid search response
diff --git a/frontend/src/i18n/locales/en-US.ts b/frontend/src/i18n/locales/en-US.ts
index 332cc58e..6a85b6f3 100755
--- a/frontend/src/i18n/locales/en-US.ts
+++ b/frontend/src/i18n/locales/en-US.ts
@@ -1160,6 +1160,7 @@ export default {
       noResults: 'No matching FAQ entries found',
       score: 'Similarity',
       matchType: 'Match Type',
+      matchedQuestion: 'Matched',
       matchTypeEmbedding: 'Vector Match',
       matchTypeKeywords: 'Keyword Match',
       similarityThresholdLabel: 'Similarity Threshold',
diff --git a/frontend/src/i18n/locales/ko-KR.ts b/frontend/src/i18n/locales/ko-KR.ts
index f4008c39..0e2f1e69 100755
--- a/frontend/src/i18n/locales/ko-KR.ts
+++ b/frontend/src/i18n/locales/ko-KR.ts
@@ -1366,6 +1366,7 @@ export default {
       noResults: "일치하는 FAQ 항목을 찾을 수 없습니다",
       score: "유사도",
       matchType: "매칭 유형",
+      matchedQuestion: "일치된 질문",
       matchTypeEmbedding: "벡터 매칭",
       matchTypeKeywords: "키워드 매칭",
       similarityThresholdLabel: "유사도 임계값",
diff --git a/frontend/src/i18n/locales/ru-RU.ts b/frontend/src/i18n/locales/ru-RU.ts
index 286b6824..343d8377 100755
--- a/frontend/src/i18n/locales/ru-RU.ts
+++ b/frontend/src/i18n/locales/ru-RU.ts
@@ -1123,6 +1123,7 @@ export default {
       noResults: 'Совпадающих записей FAQ не найдено',
       score: 'Сходство',
       matchType: 'Тип совпадения',
+      matchedQuestion: 'Совпавший вопрос',
       matchTypeEmbedding: 'Векторное совпадение',
       matchTypeKeywords: 'Совпадение ключевых слов',
       similarityThresholdLabel: 'Порог сходства',
diff --git a/frontend/src/i18n/locales/zh-CN.ts b/frontend/src/i18n/locales/zh-CN.ts
index cfcc5eee..b34997ac 100755
--- a/frontend/src/i18n/locales/zh-CN.ts
+++ b/frontend/src/i18n/locales/zh-CN.ts
@@ -1561,6 +1561,7 @@ export default {
       noResults: "未找到匹配的 FAQ 条目",
       score: "相似度",
       matchType: "匹配类型",
+      matchedQuestion: "命中问题",
       matchTypeEmbedding: "向量匹配",
       matchTypeKeywords: "关键词匹配",
       similarityThresholdLabel: "相似度阈值",
diff --git a/frontend/src/views/knowledge/components/FAQEntryManager.vue b/frontend/src/views/knowledge/components/FAQEntryManager.vue
index 10c10f69..5bfbd02b 100644
--- a/frontend/src/views/knowledge/components/FAQEntryManager.vue
+++ b/frontend/src/views/knowledge/components/FAQEntryManager.vue
@@ -1091,13 +1091,19 @@
             >
               <div class="result-header" @click="toggleResult(result)">
                 <div class="result-question-wrapper">
-                  <div class="result-question">
-                    <span class="result-index">{{ index + 1 }}.</span>
-                    {{ result.standard_question }}
+                  <div class="result-main">
+                    <div class="result-question">
+                      <span class="result-index">{{ index + 1 }}.</span>
+                      {{ result.standard_question }}
+                    </div>
+                    <div v-if="result.matched_question && result.matched_question !== result.standard_question" class="matched-question">
+                      <span class="matched-label">{{ $t('knowledgeEditor.faq.matchedQuestion') }}:</span>
+                      <span class="matched-text">{{ result.matched_question }}</span>
+                    </div>
                   </div>
                   <div class="result-meta">
                     <t-tag size="small" variant="light-outline" class="score-tag">
-                      {{ $t('knowledgeEditor.faq.score') }}: {{ (result.score || 0).toFixed(3) }}
+                      {{ (result.score || 0).toFixed(3) }}
                     </t-tag>
                   </div>
                   <t-icon 
@@ -1195,6 +1201,7 @@ interface FAQEntry {
   showMore?: boolean
   score?: number
   match_type?: string
+  matched_question?: string
   expanded?: boolean
   similarCollapsed?: boolean
   negativeCollapsed?: boolean
@@ -5791,14 +5798,20 @@ watch(() => entries.value.map(e => ({
 
 .result-question-wrapper {
   display: flex;
-  align-items: center;
+  align-items: flex-start;
   gap: 10px;
   width: 100%;
 }
 
-.result-question {
+.result-main {
   flex: 1;
   min-width: 0;
+  display: flex;
+  flex-direction: column;
+  gap: 4px;
+}
+
+.result-question {
   font-family: "PingFang SC";
   font-size: 14px;
   font-weight: 600;
@@ -5816,6 +5829,29 @@ watch(() => entries.value.map(e => ({
   }
 }
 
+.matched-question {
+  display: flex;
+  align-items: flex-start;
+  gap: 4px;
+  padding-left: 20px;
+  font-size: 12px;
+  line-height: 1.5;
+
+  .matched-label {
+    flex-shrink: 0;
+    color: #E37318;
+    font-weight: 500;
+  }
+
+  .matched-text {
+    color: #92400E;
+    background: linear-gradient(90deg, rgba(251, 191, 36, 0.15) 0%, rgba(251, 191, 36, 0.05) 100%);
+    padding: 1px 6px;
+    border-radius: 4px;
+    word-break: break-word;
+  }
+}
+
 .result-meta {
   display: flex;
   gap: 8px;
diff --git a/internal/application/service/knowledge.go b/internal/application/service/knowledge.go
index 139cd62a..e72bc8be 100644
--- a/internal/application/service/knowledge.go
+++ b/internal/application/service/knowledge.go
@@ -4937,16 +4937,18 @@ func (s *knowledgeService) SearchFAQEntries(ctx context.Context,
 		return []*types.FAQEntry{}, nil
 	}
 
-	// Extract chunk IDs and build score/match type maps
+	// Extract chunk IDs and build score/match type/matched content maps
 	chunkIDs := make([]string, 0, len(searchResults))
 	chunkScores := make(map[string]float64)
 	chunkMatchTypes := make(map[string]types.MatchType)
+	chunkMatchedContents := make(map[string]string)
 	for _, result := range searchResults {
 		// SearchResult.ID is the chunk ID
 		chunkID := result.ID
 		chunkIDs = append(chunkIDs, chunkID)
 		chunkScores[chunkID] = result.Score
 		chunkMatchTypes[chunkID] = result.MatchType
+		chunkMatchedContents[chunkID] = result.MatchedContent
 	}
 
 	// Batch fetch chunks
@@ -5003,6 +5005,11 @@ func (s *knowledgeService) SearchFAQEntries(ctx context.Context,
 			entry.MatchType = matchType
 		}
 
+		// Set MatchedQuestion from search result's matched content
+		if matchedContent, ok := chunkMatchedContents[chunk.ID]; ok && matchedContent != "" {
+			entry.MatchedQuestion = matchedContent
+		}
+
 		entries = append(entries, entry)
 	}
 
diff --git a/internal/application/service/knowledgebase.go b/internal/application/service/knowledgebase.go
index 6dfea6d0..92d2d599 100644
--- a/internal/application/service/knowledgebase.go
+++ b/internal/application/service/knowledgebase.go
@@ -998,6 +998,7 @@ func (s *knowledgeBaseService) processSearchResults(ctx context.Context,
 	var chunkIDs []string
 	chunkScores := make(map[string]float64)
 	chunkMatchTypes := make(map[string]types.MatchType)
+	chunkMatchedContents := make(map[string]string)
 	processedKnowledgeIDs := make(map[string]bool)
 
 	// Collect all knowledge and chunk IDs
@@ -1010,6 +1011,7 @@ func (s *knowledgeBaseService) processSearchResults(ctx context.Context,
 		chunkIDs = append(chunkIDs, chunk.ChunkID)
 		chunkScores[chunk.ChunkID] = chunk.Score
 		chunkMatchTypes[chunk.ChunkID] = chunk.MatchType
+		chunkMatchedContents[chunk.ChunkID] = chunk.Content
 	}
 
 	// Batch fetch knowledge data
@@ -1110,7 +1112,8 @@ func (s *knowledgeBaseService) processSearchResults(ctx context.Context,
 		score := chunkScores[chunk.ID]
 		if knowledge, ok := knowledgeMap[chunk.KnowledgeID]; ok {
 			matchType := chunkMatchTypes[chunk.ID]
-			searchResults = append(searchResults, s.buildSearchResult(chunk, knowledge, score, matchType))
+			matchedContent := chunkMatchedContents[chunk.ID]
+			searchResults = append(searchResults, s.buildSearchResult(chunk, knowledge, score, matchType, matchedContent))
 			addedChunkIDs[chunk.ID] = true
 		} else {
 			logger.Warnf(ctx, "Knowledge not found for chunk: %s, knowledge_id: %s", chunk.ID, chunk.KnowledgeID)
@@ -1136,7 +1139,8 @@ func (s *knowledgeBaseService) processSearchResults(ctx context.Context,
 				logger.Warnf(ctx, "Unkonwn match type for chunk: %s", chunkID)
 				continue
 			}
-			searchResults = append(searchResults, s.buildSearchResult(chunk, knowledge, score, matchType))
+			matchedContent := chunkMatchedContents[chunkID]
+			searchResults = append(searchResults, s.buildSearchResult(chunk, knowledge, score, matchType, matchedContent))
 		}
 	}
 	logger.Infof(ctx, "Search results processed, total: %d", len(searchResults))
@@ -1166,6 +1170,7 @@ func (s *knowledgeBaseService) buildSearchResult(chunk *types.Chunk,
 	knowledge *types.Knowledge,
 	score float64,
 	matchType types.MatchType,
+	matchedContent string,
 ) *types.SearchResult {
 	return &types.SearchResult{
 		ID:                chunk.ID,
@@ -1185,6 +1190,7 @@ func (s *knowledgeBaseService) buildSearchResult(chunk *types.Chunk,
 		KnowledgeFilename: knowledge.FileName,
 		KnowledgeSource:   knowledge.Source,
 		ChunkMetadata:     chunk.Metadata,
+		MatchedContent:    matchedContent,
 	}
 }
 
diff --git a/internal/types/faq.go b/internal/types/faq.go
index 6c6e3094..1a9dc452 100644
--- a/internal/types/faq.go
+++ b/internal/types/faq.go
@@ -194,6 +194,9 @@ type FAQEntry struct {
 	Score             float64        `json:"score,omitempty"`
 	MatchType         MatchType      `json:"match_type,omitempty"`
 	ChunkType         ChunkType      `json:"chunk_type"`
+	// MatchedQuestion is the actual question text that was matched in FAQ search
+	// Could be the standard question or one of the similar questions
+	MatchedQuestion string `json:"matched_question,omitempty"`
 }
 
 // FAQEntryPayload 用于创建/更新 FAQ 条目的 payload
diff --git a/internal/types/search.go b/internal/types/search.go
index 0158c785..b9ba42db 100644
--- a/internal/types/search.go
+++ b/internal/types/search.go
@@ -87,6 +87,10 @@ type SearchResult struct {
 
 	// ChunkMetadata stores chunk-level metadata (e.g., generated questions)
 	ChunkMetadata JSON `json:"chunk_metadata,omitempty"`
+
+	// MatchedContent is the actual content that was matched in vector search
+	// For FAQ: this is the matched question text (standard or similar question)
+	MatchedContent string `json:"matched_content,omitempty"`
 }
 
 // SearchParams represents the search parameters