text: <start_of_text>Create document search system with embedding retriever and WeaviateDocumentStore<response>{"version": "1.6.0", "components": [{"name": "weaviate_document_store", "type": "WeaviateDocumentStore", "params": {"port": 0, "timeout_config": [5, 15], "index": "Document", "embedding_dim": 768, "similarity": "cosine", "index_type": "hnsw", "embedding_field": "embedding", "progress_bar": true}}, {"name": "embedding_retriever", "type": "EmbeddingRetriever", "params": {"use_gpu": true, "emb_extraction_layer": -1, "top_k": 10, "use_auth_token": false}}], "pipelines": [{"name": "my_doc_search_pipeline", "nodes": [{"inputs": ["Query"], "name": "embedding_retriever"}, {"inputs": ["embedding_retriever"]}]}]}<end_of_text>