diff --git a/README.md b/README.md
index 8ff2d71d5..2c48fcdc2 100644
--- a/README.md
+++ b/README.md
@@ -85,7 +85,7 @@ import os
 os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY"
 
 ```
-or 
+or
 ```
 import cognee
 cognee.config.set_llm_api_key("YOUR_OPENAI_API_KEY")
@@ -115,7 +115,7 @@ DB_PORT=5432
 DB_NAME=cognee_db
 DB_USERNAME=cognee
 DB_PASSWORD=cognee
-``` 
+```
 
 ### Simple example
 
@@ -140,14 +140,14 @@ async def main():
     Natural language processing (NLP) is an interdisciplinary
     subfield of computer science and information retrieval.
     """
-    
+
     print("Adding text to cognee:")
-    print(text.strip())  
+    print(text.strip())
     # Add the text, and make it available for cognify
     await cognee.add(text)
     print("Text added successfully.\n")
 
-    
+
     print("Running cognify to create knowledge graph...\n")
     print("Cognify process steps:")
     print("1. Classifying the document: Determining the type and category of the input text.")
@@ -156,19 +156,19 @@ async def main():
     print("4. Adding data points: Storing the extracted chunks for processing.")
     print("5. Generating knowledge graph: Extracting entities and relationships to form a knowledge graph.")
     print("6. Summarizing text: Creating concise summaries of the content for quick insights.\n")
-    
+
     # Use LLMs and cognee to create knowledge graph
     await cognee.cognify()
     print("Cognify process complete.\n")
 
-    
+
     query_text = 'Tell me about NLP'
     print(f"Searching cognee for insights with query: '{query_text}'")
     # Query cognee for insights on the added text
     search_results = await cognee.search(
         SearchType.INSIGHTS, query_text=query_text
     )
-    
+
     print("Search results:")
     # Display results
     for result_text in search_results:
@@ -212,7 +212,7 @@ Cognee supports a variety of tools and services for different operations:
 - **Language Models (LLMs)**: You can use either Anyscale or Ollama as your LLM provider.
 
 - **Graph Stores**: In addition to NetworkX, Neo4j is also supported for graph storage.
-  
+
 - **User management**: Create individual user graphs and manage permissions
 
 ## Demo
@@ -258,13 +258,13 @@ pip install cognee
 
 
 
-| Name     | Type               | Current state     | Known Issues |
-|----------|--------------------|-------------------|--------------|
-| Qdrant   | Vector             | Stable ✅   |              |
-| Weaviate | Vector             | Stable ✅   |              |
-| LanceDB  | Vector             | Stable ✅   |              |
-| Neo4j    | Graph              | Stable ✅   |              |
-| NetworkX | Graph              | Stable ✅   |              |
-| FalkorDB | Vector/Graph       | Unstable ❌ |              |
-| PGVector | Vector             | Stable ✅   |              |
-| Milvus   | Vector             | Stable ✅   |              |
+| Name     | Type               | Current state (Mac/Linux) | Known Issues | Current state (Win) | Known Issues |
+|----------|--------------------|---------------------------|--------------|---------------------|--------------|
+| Qdrant   | Vector             | Stable ✅           |              | Untested ⏳          |              |
+| Weaviate | Vector             | Stable ✅           |              | Untested ⏳          |              |
+| LanceDB  | Vector             | Stable ✅           |              | Stable ✅     |              |
+| Neo4j    | Graph              | Stable ✅           |              | Stable ✅     |              |
+| NetworkX | Graph              | Stable ✅           |              | Stable ✅     |              |
+| FalkorDB | Vector/Graph       | Unstable ❌         |              | Unstable ❌   |              |
+| PGVector | Vector             | Stable ✅           |              | Unstable ❌   |              |
+| Milvus   | Vector             | Stable ✅           |              | Untested ⏳          |              |