text: <start_of_text>Build Haystack ExtractiveQAPipeline consisting of TableReader, EmbeddingRetriever and InMemoryDocumentStore<response>{"version": "1.6.0", "components": [{"name": "in_memory_document_store", "type": "InMemoryDocumentStore", "params": {"index": "document", "label_index": "label", "embedding_field": "embedding", "return_embedding": false, "similarity": "dot_product", "progress_bar": true}}, {"name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {"use_gpu": true, "batch_size": 32, "max_seq_len": 512, "progress_bar": true, "use_auth_token": false}}, {"name": "table_reader", "type": "TableReader", "params": {"top_k": 10, "max_seq_len": 256}}], "pipelines": [{"name": "my_query_pipeline", "nodes": [{"inputs": ["Query"], "name": "embedding_retriever"}, {"inputs": ["embedding_retriever"], "name": "table_reader"}]}]}<end_of_text>