qdrant_client = GetQdrantClient().get_client()
            logger.debug("creating reader")
            reader = SimpleDirectoryReader(
                input_files=[f"./temp/{user_id}/{file_name}"]
            )
            documents = reader.load_data()
            qdrant_vector_store = QdrantVectorStore(
                client=qdrant_client, collection_name=COLLECTION_NAME
            )
            pipeline = IngestionPipeline(
                transformations=[AZURE_EMBEDDING], vector_store=qdrant_vector_store
            )
            for document in documents:
                document.metadata["user_id"] = user_id
                document.metadata["file_name"] = file_name
            nodes = pipeline.run(documents=documents, num_workers=4)
            return