diff --git a/haystack/document_store/faiss.py b/haystack/document_store/faiss.py
index 50ad20e4a..b4f222a63 100644
--- a/haystack/document_store/faiss.py
+++ b/haystack/document_store/faiss.py
@@ -1,17 +1,22 @@
 import logging
+from sys import platform
 from pathlib import Path
 from typing import Union, List, Optional, Dict
 from tqdm import tqdm
-import faiss
 import numpy as np
-import random
 
 from haystack import Document
 from haystack.document_store.sql import SQLDocumentStore
 from haystack.retriever.base import BaseRetriever
 
+if platform != 'win32' and platform != 'cygwin':
+    import faiss
+else:
+    raise ModuleNotFoundError("FAISSDocumentStore on windows platform is not supported")
+
 logger = logging.getLogger(__name__)
 
+
 class FAISSDocumentStore(SQLDocumentStore):
     """
     Document store for very large scale embedding based dense retrievers like the DPR.
diff --git a/requirements.txt b/requirements.txt
index 7e06d27b2..a5dc6c15b 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,7 +4,6 @@ fastapi
 uvicorn
 gunicorn
 pandas
-psycopg2-binary
 sklearn
 elasticsearch
 elastic-apm
@@ -16,7 +15,7 @@ python-multipart
 python-docx
 sqlalchemy_utils
 # for using FAISS with GPUs, install faiss-gpu
-faiss-cpu
+faiss-cpu; sys_platform != 'win32' and sys_platform != 'cygwin'
 tika
-uvloop
+uvloop; sys_platform != 'win32' and sys_platform != 'cygwin'
 httptools