diff --git a/src/main/java/org/opensearch/neuralsearch/processor/NLPProcessor.java b/src/main/java/org/opensearch/neuralsearch/processor/InferenceProcessor.java
similarity index 97%
rename from src/main/java/org/opensearch/neuralsearch/processor/NLPProcessor.java
rename to src/main/java/org/opensearch/neuralsearch/processor/InferenceProcessor.java
index 4ac63d419..acf0eb32b 100644
--- a/src/main/java/org/opensearch/neuralsearch/processor/NLPProcessor.java
+++ b/src/main/java/org/opensearch/neuralsearch/processor/InferenceProcessor.java
@@ -32,7 +32,7 @@
  * and set the target fields according to the field name map.
  */
 @Log4j2
-public abstract class NLPProcessor extends AbstractProcessor {
+public abstract class InferenceProcessor extends AbstractProcessor {
 
     public static final String MODEL_ID_FIELD = "model_id";
     public static final String FIELD_MAP_FIELD = "field_map";
@@ -51,7 +51,7 @@ public abstract class NLPProcessor extends AbstractProcessor {
 
     private final Environment environment;
 
-    public NLPProcessor(
+    public InferenceProcessor(
         String tag,
         String description,
         String type,
@@ -249,7 +249,7 @@ protected void setVectorFieldsToDocument(IngestDocument ingestDocument, Map<Stri
     @SuppressWarnings({ "unchecked" })
     @VisibleForTesting
     Map<String, Object> buildNLPResult(Map<String, Object> processorMap, List<?> results, Map<String, Object> sourceAndMetadataMap) {
-        NLPProcessor.IndexWrapper indexWrapper = new NLPProcessor.IndexWrapper(0);
+        InferenceProcessor.IndexWrapper indexWrapper = new InferenceProcessor.IndexWrapper(0);
         Map<String, Object> result = new LinkedHashMap<>();
         for (Map.Entry<String, Object> knnMapEntry : processorMap.entrySet()) {
             String knnKey = knnMapEntry.getKey();
@@ -270,7 +270,7 @@ private void putNLPResultToSourceMapForMapType(
         String processorKey,
         Object sourceValue,
         List<?> results,
-        NLPProcessor.IndexWrapper indexWrapper,
+        InferenceProcessor.IndexWrapper indexWrapper,
         Map<String, Object> sourceAndMetadataMap
     ) {
         if (processorKey == null || sourceAndMetadataMap == null || sourceValue == null) return;
@@ -294,7 +294,7 @@ private void putNLPResultToSourceMapForMapType(
     private List<Map<String, Object>> buildNLPResultForListType(
         List<String> sourceValue,
         List<?> results,
-        NLPProcessor.IndexWrapper indexWrapper
+        InferenceProcessor.IndexWrapper indexWrapper
     ) {
         List<Map<String, Object>> keyToResult = new ArrayList<>();
         IntStream.range(0, sourceValue.size())
diff --git a/src/main/java/org/opensearch/neuralsearch/processor/SparseEncodingProcessor.java b/src/main/java/org/opensearch/neuralsearch/processor/SparseEncodingProcessor.java
index 275117809..b5bb85aac 100644
--- a/src/main/java/org/opensearch/neuralsearch/processor/SparseEncodingProcessor.java
+++ b/src/main/java/org/opensearch/neuralsearch/processor/SparseEncodingProcessor.java
@@ -22,7 +22,7 @@
  * and field_map can be used to indicate which fields needs text embedding and the corresponding keys for the sparse encoding results.
  */
 @Log4j2
-public final class SparseEncodingProcessor extends NLPProcessor {
+public final class SparseEncodingProcessor extends InferenceProcessor {
 
     public static final String TYPE = "sparse_encoding";
     public static final String LIST_TYPE_NESTED_MAP_KEY = "sparse_encoding";
diff --git a/src/main/java/org/opensearch/neuralsearch/processor/TextEmbeddingProcessor.java b/src/main/java/org/opensearch/neuralsearch/processor/TextEmbeddingProcessor.java
index 1df60baea..c30d14caf 100644
--- a/src/main/java/org/opensearch/neuralsearch/processor/TextEmbeddingProcessor.java
+++ b/src/main/java/org/opensearch/neuralsearch/processor/TextEmbeddingProcessor.java
@@ -21,7 +21,7 @@
  * and field_map can be used to indicate which fields needs text embedding and the corresponding keys for the text embedding results.
  */
 @Log4j2
-public final class TextEmbeddingProcessor extends NLPProcessor {
+public final class TextEmbeddingProcessor extends InferenceProcessor {
 
     public static final String TYPE = "text_embedding";
     public static final String LIST_TYPE_NESTED_MAP_KEY = "knn";