<start_of_text>Make search summarization pipeline consisting of TransformersSummarizer, multihop embedding retriever and in memory document store<response>{"version": "1.6.0", "components": [{"name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {"index": "document", "label_index": "label", "return_embedding": false, "similarity": "dot_product", "progress_bar": true, "duplicate_documents": "overwrite", "scoring_batch_size": 500000}}, {"name": "multihop_embedding_retriever", "type": "MultihopEmbeddingRetriever", "params": {"num_iterations": 2, "use_gpu": true, "model_format": "farm", "pooling_strategy": "reduce_mean", "top_k": 10, "progress_bar": true, "use_auth_token": false, "scale_score": true}}, {"name": "transformers_summarizer", "type": "TransformersSummarizer", "params": {"model_name_or_path": "google/pegasus-xsum", "use_gpu": true, "separator_for_single_summary": " ", "generate_single_summary": false, "batch_size": 0}}], "pipelines": [{"name": "my_query_pipeline", "nodes": [{"inputs": ["Query"], "name": "multihop_embedding_retriever"}, {"inputs": ["multihop_embedding_retriever"], "name": "transformers_summarizer"}]}]}<end_of_text>