def test_tfidf_retriever(): from haystack.retriever.sparse import TfidfRetriever test_docs = [{ "name": "testing the finder 1", "text": "godzilla says hello" }, { "name": "testing the finder 2", "text": "optimus prime says bye" }, { "name": "testing the finder 3", "text": "alien says arghh" }] from haystack.database.memory import InMemoryDocumentStore document_store = InMemoryDocumentStore() document_store.write_documents(test_docs) retriever = TfidfRetriever(document_store) retriever.fit() assert retriever.retrieve("godzilla", top_k=1) == [ Document(id='0', text='godzilla says hello', external_source_id=None, question=None, query_score=None, meta={}) ]