diff --git a/src/test/java/org/opensearch/neuralsearch/processor/TextImageEmbeddingProcessorIT.java b/src/test/java/org/opensearch/neuralsearch/processor/TextImageEmbeddingProcessorIT.java
index c2bf16959..9d02fe09a 100644
--- a/src/test/java/org/opensearch/neuralsearch/processor/TextImageEmbeddingProcessorIT.java
+++ b/src/test/java/org/opensearch/neuralsearch/processor/TextImageEmbeddingProcessorIT.java
@@ -16,8 +16,11 @@
  */
 public class TextImageEmbeddingProcessorIT extends BaseNeuralSearchIT {
 
-    private static final String INDEX_NAME = "text_image_embedding_index";
-    private static final String PIPELINE_NAME = "ingest-pipeline";
+    private static final String INDEX_NAME_1 = "text_image_embedding_index-1";
+    private static final String INDEX_NAME_2 = "text_image_embedding_index-2";
+    private static final String FROM_INDEX_NAME = "test-reindex-from";
+    private static final String PIPELINE_NAME_1 = "text_image_embedding_ingest_pipeline-1";
+    private static final String PIPELINE_NAME_2 = "text_image_embedding_ingest_pipeline-2";
     private static final String INGEST_DOCUMENT = "{\n"
         + "  \"title\": \"This is a good day\",\n"
         + "  \"description\": \"daily logging\",\n"
@@ -45,16 +48,16 @@ public void testEmbeddingProcessor_whenIngestingDocumentWithOrWithoutSourceMatch
         try {
             modelId = uploadModel();
             loadModel(modelId);
-            createPipelineProcessor(modelId, PIPELINE_NAME, ProcessorType.TEXT_IMAGE_EMBEDDING);
-            createIndexWithPipeline(INDEX_NAME, "IndexMappings.json", PIPELINE_NAME);
+            createPipelineProcessor(modelId, PIPELINE_NAME_1, ProcessorType.TEXT_IMAGE_EMBEDDING);
+            createIndexWithPipeline(INDEX_NAME_1, "IndexMappings.json", PIPELINE_NAME_1);
             // verify doc with mapping
-            ingestDocument(INDEX_NAME, INGEST_DOCUMENT);
-            assertEquals(1, getDocCount(INDEX_NAME));
+            ingestDocument(INDEX_NAME_1, INGEST_DOCUMENT);
+            assertEquals(1, getDocCount(INDEX_NAME_1));
             // verify doc without mapping
-            ingestDocument(INDEX_NAME, INGEST_DOCUMENT_UNMAPPED_FIELDS);
-            assertEquals(2, getDocCount(INDEX_NAME));
+            ingestDocument(INDEX_NAME_1, INGEST_DOCUMENT_UNMAPPED_FIELDS);
+            assertEquals(2, getDocCount(INDEX_NAME_1));
         } finally {
-            wipeOfTestResources(INDEX_NAME, PIPELINE_NAME, modelId, null);
+            wipeOfTestResources(INDEX_NAME_1, PIPELINE_NAME_1, modelId, null);
         }
     }
 
@@ -65,20 +68,18 @@ private String uploadModel() throws Exception {
 
     public void testEmbeddingProcessor_whenReindexingDocument_thenSuccessful() throws Exception {
         // create a simple index and indexing data into this index.
-        String fromIndexName = "test-reindex-from";
-        createIndexWithConfiguration(fromIndexName, "{ \"settings\": { \"number_of_shards\": 1, \"number_of_replicas\": 0 } }", null);
-        ingestDocument(fromIndexName, "{ \"text\": \"hello world\" }");
+        createIndexWithConfiguration(FROM_INDEX_NAME, "{ \"settings\": { \"number_of_shards\": 1, \"number_of_replicas\": 0 } }", null);
+        ingestDocument(FROM_INDEX_NAME, "{ \"text\": \"hello world\" }");
         String modelId = null;
         try {
             modelId = uploadModel();
             loadModel(modelId);
-            String toIndexName = "test-reindex-to";
-            createPipelineProcessor(modelId, PIPELINE_NAME, ProcessorType.TEXT_IMAGE_EMBEDDING);
-            createIndexWithPipeline(toIndexName, "IndexMappings.json", PIPELINE_NAME);
-            reindex(fromIndexName, toIndexName);
-            assertEquals(1, getDocCount(toIndexName));
+            createPipelineProcessor(modelId, PIPELINE_NAME_2, ProcessorType.TEXT_IMAGE_EMBEDDING);
+            createIndexWithPipeline(INDEX_NAME_2, "IndexMappings.json", PIPELINE_NAME_2);
+            reindex(FROM_INDEX_NAME, INDEX_NAME_2);
+            assertEquals(1, getDocCount(INDEX_NAME_2));
         } finally {
-            wipeOfTestResources(fromIndexName, PIPELINE_NAME, modelId, null);
+            wipeOfTestResources(INDEX_NAME_2, PIPELINE_NAME_2, modelId, null);
         }
     }
 }