diff --git a/nvidia/txt2kg/assets/frontend/app/api/graph-query-llm/route.ts b/nvidia/txt2kg/assets/frontend/app/api/graph-query-llm/route.ts
index 963dd06..4a8dd18 100644
--- a/nvidia/txt2kg/assets/frontend/app/api/graph-query-llm/route.ts
+++ b/nvidia/txt2kg/assets/frontend/app/api/graph-query-llm/route.ts
@@ -27,7 +27,12 @@ export async function POST(request: NextRequest) {
     
     // Query the backend with LLM enhancement
     const result = await backendService.queryWithLLM(query, topK, useTraditional, llmModel, llmProvider);
-    
+
+    // DEBUG: Log first triple in API route to verify depth/pathLength
+    if (result.triples && result.triples.length > 0) {
+      console.log('API route - first triple:', JSON.stringify(result.triples[0], null, 2));
+    }
+
     // Return results
     return NextResponse.json({
       query,
diff --git a/nvidia/txt2kg/assets/frontend/components/embeddings-generator.tsx b/nvidia/txt2kg/assets/frontend/components/embeddings-generator.tsx
index 1aedbaa..52319f3 100644
--- a/nvidia/txt2kg/assets/frontend/components/embeddings-generator.tsx
+++ b/nvidia/txt2kg/assets/frontend/components/embeddings-generator.tsx
@@ -814,20 +814,21 @@ function TriplesContent({
         <h4 className="text-sm font-semibold text-foreground">Processing Options</h4>
         
         <div className="space-y-2">
-          <div className="flex items-center space-x-2">
-            <Switch 
-              id="use-langchain-triples" 
+          {/* Hidden: Use LangChain toggle - LangChain is always used for triple extraction */}
+          {/* <div className="flex items-center space-x-2">
+            <Switch
+              id="use-langchain-triples"
               checked={useLangChain}
               onCheckedChange={setUseLangChain}
               disabled={isProcessing}
             />
             <Label htmlFor="use-langchain-triples" className="text-sm cursor-pointer">Use LangChain</Label>
-          </div>
+          </div> */}
           {/* <p className="text-xs text-muted-foreground pl-7">
             Leverages LangChain for knowledge extraction from documents
           </p> */}
-          
-          {useLangChain && (
+
+          {false && useLangChain && (
             <div className="mt-3">
               <AdvancedOptions title="LangChain Options" defaultOpen={false}>
                 <div className="space-y-3">
diff --git a/nvidia/txt2kg/assets/frontend/lib/graph-db-service.ts b/nvidia/txt2kg/assets/frontend/lib/graph-db-service.ts
index 3f7550a..6542a9e 100644
--- a/nvidia/txt2kg/assets/frontend/lib/graph-db-service.ts
+++ b/nvidia/txt2kg/assets/frontend/lib/graph-db-service.ts
@@ -166,6 +166,30 @@ export class GraphDBService {
     }
   }
 
+  /**
+   * Perform graph traversal using native database capabilities
+   * Only available for ArangoDB
+   */
+  public async graphTraversal(
+    keywords: string[],
+    maxDepth: number = 2,
+    maxResults: number = 100
+  ): Promise<Array<{
+    subject: string;
+    predicate: string;
+    object: string;
+    confidence: number;
+    depth?: number;
+  }>> {
+    if (this.activeDBType === 'arangodb') {
+      return await this.arangoDBService.graphTraversal(keywords, maxDepth, maxResults);
+    } else {
+      // Neo4j doesn't have this method yet, return empty array
+      console.warn('graphTraversal is only available for ArangoDB');
+      return [];
+    }
+  }
+
   /**
    * Clear all data from the active graph database
    */