[fix: cognee.md] include vector_dataset_database_handler information (#2065)

* include vector_dataset_database_handler information

* docs: Updated cognee.md

---------

Co-authored-by: Anush <anushshetty90@gmail.com>

qdrant-landing/content/documentation/frameworks/cognee.md

@@ -51,6 +51,7 @@ async def main():
     config.set_relational_db_config({"db_provider": "sqlite"})
     config.set_vector_db_config({
         "vector_db_provider": "qdrant",
+        "vector_dataset_database_handler": "qdrant",
         "vector_db_url": os.getenv("QDRANT_API_URL", "http://localhost:6333"),
         "vector_db_key": os.getenv("QDRANT_API_KEY", ""),
     })
@@ -68,6 +69,18 @@ if __name__ == "__main__":
     asyncio.run(main())
 ```
 
+> Note: You can specify `vector_dataset_database_handler` in the config if it is not defined in the `.env` file.
+
+Example `.env` usage file for Cognee with Qdrant adapter
+
+```bash
+LLM_API_KEY=your-openai-api-key
+VECTOR_DB_PROVIDER=qdrant
+VECTOR_DB_URL=http://localhost:6333
+VECTOR_DB_KEY=
+VECTOR_DATASET_DATABASE_HANDLER=qdrant
+```
+
 ## How It Works
 
 Cognee's memory pipelines move content through extraction → embedding → graph construction → retrieval, with consistent configuration across laptops, distributed jobs, and hosted runs. The graph-aware semantic layer is where retrieval becomes reasoning.
@@ -91,4 +104,4 @@ If you prefer not to run infrastructure, Cognee's hosted option — [cogwit](htt
 
 - [Cognee Documentation](https://docs.Cognee.ai/getting-started/introduction)
 - [Cognee Source](https://github.com/topoteretes/Cognee)
-- [Cognee Website](https://www.cognee.ai/)
+- [Cognee Website](https://www.cognee.ai/)