text: <start_of_text>Build Haystack ExtractiveQAPipeline using FARMReader, TableTextRetriever and deepset cloud document store<response>{"version": "1.6.0", "components": [{"name": "deepset_cloud_document_store", "type": "DeepsetCloudDocumentStore", "params": {}}, {"name": "table_text_retriever", "type": "TableTextRetriever", "params": {"max_seq_len_query": 64, "top_k": 10, "use_gpu": true, "batch_size": 16, "use_fast_tokenizers": true, "similarity_function": "dot_product", "scale_score": true}}, {"name": "farm_reader", "type": "FARMReader", "params": {"context_window_size": 150, "no_ans_boost": 0.0, "top_k_per_candidate": 3, "num_processes": 0, "max_seq_len": 256, "doc_stride": 128, "use_confidence_scores": true, "confidence_threshold": 0, "use_auth_token": false}}], "pipelines": [{"name": "my_query_pipeline", "nodes": [{"inputs": ["Query"], "name": "table_text_retriever"}, {"inputs": ["table_text_retriever"], "name": "farm_reader"}]}]}<end_of_text>