diff --git a/cognee/infrastructure/databases/hybrid/neptune_analytics/NeptuneAnalyticsAdapter.py b/cognee/infrastructure/databases/hybrid/neptune_analytics/NeptuneAnalyticsAdapter.py
index a8df0b2e0..9289bb6c8 100644
--- a/cognee/infrastructure/databases/hybrid/neptune_analytics/NeptuneAnalyticsAdapter.py
+++ b/cognee/infrastructure/databases/hybrid/neptune_analytics/NeptuneAnalyticsAdapter.py
@@ -320,7 +320,12 @@ class NeptuneAnalyticsAdapter(NeptuneGraphDB, VectorDBInterface):
             self._na_exception_handler(e, query_string)
 
     async def batch_search(
-        self, collection_name: str, query_texts: List[str], limit: int, with_vectors: bool = False
+        self,
+        collection_name: str,
+        query_texts: List[str],
+        limit: int,
+        with_vectors: bool = False,
+        include_payload: bool = False,
     ):
         """
         Perform a batch search using multiple text queries against a collection.
@@ -343,7 +348,14 @@ class NeptuneAnalyticsAdapter(NeptuneGraphDB, VectorDBInterface):
         data_vectors = await self.embedding_engine.embed_text(query_texts)
         return await asyncio.gather(
             *[
-                self.search(collection_name, None, vector, limit, with_vectors)
+                self.search(
+                    collection_name,
+                    None,
+                    vector,
+                    limit,
+                    with_vectors,
+                    include_payload=include_payload,
+                )
                 for vector in data_vectors
             ]
         )
diff --git a/cognee/infrastructure/databases/vector/chromadb/ChromaDBAdapter.py b/cognee/infrastructure/databases/vector/chromadb/ChromaDBAdapter.py
index 5e2d3975a..bec97ca94 100644
--- a/cognee/infrastructure/databases/vector/chromadb/ChromaDBAdapter.py
+++ b/cognee/infrastructure/databases/vector/chromadb/ChromaDBAdapter.py
@@ -442,6 +442,7 @@ class ChromaDBAdapter(VectorDBInterface):
         query_texts: List[str],
         limit: int = 5,
         with_vectors: bool = False,
+        include_payload: bool = False,
     ):
         """
         Perform multiple searches in a single request for efficiency, returning results for each
diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
index 49168ffcd..baef75d9e 100644
--- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
+++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py
@@ -260,6 +260,7 @@ class LanceDBAdapter(VectorDBInterface):
             .limit(limit)
             .to_list()
         )
+
         if not result_values:
             return []
         normalized_values = normalize_distances(result_values)
@@ -279,6 +280,7 @@ class LanceDBAdapter(VectorDBInterface):
         query_texts: List[str],
         limit: Optional[int] = None,
         with_vectors: bool = False,
+        include_payload: bool = False,
     ):
         query_vectors = await self.embedding_engine.embed_text(query_texts)
 
@@ -289,6 +291,7 @@ class LanceDBAdapter(VectorDBInterface):
                     query_vector=query_vector,
                     limit=limit,
                     with_vector=with_vectors,
+                    include_payload=include_payload,
                 )
                 for query_vector in query_vectors
             ]
diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
index 6c73ad475..5e2c356ee 100644
--- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
+++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
@@ -380,6 +380,7 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
         query_texts: List[str],
         limit: int = None,
         with_vectors: bool = False,
+        include_payload: bool = False,
     ):
         query_vectors = await self.embedding_engine.embed_text(query_texts)
 
@@ -390,6 +391,7 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
                     query_vector=query_vector,
                     limit=limit,
                     with_vector=with_vectors,
+                    include_payload=include_payload,
                 )
                 for query_vector in query_vectors
             ]
diff --git a/cognee/infrastructure/databases/vector/vector_db_interface.py b/cognee/infrastructure/databases/vector/vector_db_interface.py
index e38de19e2..4376d8713 100644
--- a/cognee/infrastructure/databases/vector/vector_db_interface.py
+++ b/cognee/infrastructure/databases/vector/vector_db_interface.py
@@ -117,6 +117,7 @@ class VectorDBInterface(Protocol):
         query_texts: List[str],
         limit: Optional[int],
         with_vectors: bool = False,
+        include_payload: bool = False,
     ):
         """
         Perform a batch search using multiple text queries against a collection.
@@ -129,6 +130,9 @@ class VectorDBInterface(Protocol):
             - limit (Optional[int]): The maximum number of results to return for each query.
             - with_vectors (bool): Whether to include vector representations with search
               results. (default False)
+            - include_payload (bool): Whether to include the payload data with search. Search is faster when set to False.
+              Payload contains metadata about the data point, useful for searches that are only based on embedding distances
+              like the RAG_COMPLETION search type, but not needed when search also contains graph data.
         """
         raise NotImplementedError