diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
index 2b21f4d05..f77d1ee20 100644
--- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
+++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py
@@ -1,8 +1,8 @@
 from typing import List, Optional, get_type_hints, Any, Dict
 from sqlalchemy import text, select
 from sqlalchemy import JSON, Column, Table
-from sqlalchemy.dialects.postgresql import ARRAY
 from ..models.ScoredResult import ScoredResult
+import asyncio
 
 from ..vector_db_interface import VectorDBInterface, DataPoint
 from sqlalchemy.orm import Mapped, mapped_column
@@ -153,11 +153,9 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
         limit: int = 5,
         with_vector: bool = False,
     ) -> List[ScoredResult]:
-        # Validate inputs
         if query_text is None and query_vector is None:
             raise ValueError("One of query_text or query_vector must be provided!")
 
-        # Get the vector for query_text if provided
         if query_text and not query_vector:
             query_vector = (await self.embedding_engine.embed_text([query_text]))[0]
 
@@ -195,7 +193,16 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface):
         limit: int = None,
         with_vectors: bool = False,
     ):
-        pass
+        query_vectors = await self.embedding_engine.embed_text(query_texts)
+
+        return asyncio.gather(
+            *[self.search(
+                collection_name = collection_name,
+                query_vector = query_vector,
+                limit = limit,
+                with_vector = with_vectors,
+            ) for query_vector in query_vectors]
+        )
 
     async def delete_data_points(self, collection_name: str, data_point_ids: list[str]):
         pass