is between 0-1. 0 is dissimilar, 1 is the most similardocs = db.similarity_search_with_score(query)print(docs[0])    (Document(page_content='And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.', metadata={'source': '../../modules/state_of_the_union.txt'}), 0.561813814013747)Restore the table created and added data before‚ÄãAwaDB automatically persists added document dataIf you can restore the table you created and added before, you can just do this as below:awadb_client = awadb.Client()ret = awadb_client.Load("langchain_awadb")if ret:    print("awadb load table success")else:    print("awadb load table failed")awadb load table successPreviousAtlasNextAzure Cosmos DBSimilarity search with scoreRestore the table created and added data beforeCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
AwaDB is an AI Native database for the search and storage of embedding vectors used by LLM Applications.
AwaDB is an AI Native database for the search and storage of embedding vectors used by LLM Applications. ->: is between 0-1. 0 is dissimilar, 1 is the most similardocs = db.similarity_search_with_score(query)print(docs[0])    (Document(page_content='And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation‚Äôs top legal minds, who will continue Justice Breyer‚Äôs legacy of excellence.', metadata={'source': '../../modules/state_of_the_union.txt'}), 0.561813814013747)Restore the table created and added data before‚ÄãAwaDB automatically persists added document dataIf you can restore the table you created and added before, you can just do this as below:awadb_client = awadb.Client()ret = awadb_client.Load("langchain_awadb")if ret:    print("awadb load table success")else:    print("awadb load table failed")awadb load table successPreviousAtlasNextAzure Cosmos DBSimilarity search with scoreRestore the table created and added data beforeCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.