text: = Clickhouse.from_documents(docs, embeddings)    Inserting data...: 100%|â–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆâ–ˆ| 42/42 [00:00<00:00, 6939.56it/s]meta = docsearch.metadata_columnoutput = docsearch.similarity_search_with_relevance_scores(    "What did the president say about Ketanji Brown Jackson?",    k=4,    where_str=f"{meta}.doc_id<10",)for d, dist in output:    print(dist, d.metadata, d.page_content[:20] + "...")    0.6779101415357189 {'doc_id': 0} Madam Speaker, Madam...    0.6997970363474885 {'doc_id': 8} And so many families...    0.7044504914336727 {'doc_id': 1} Groups of citizens b...    0.7053558702165094 {'doc_id': 6} And Iâ€™m taking robus...Deleting your dataâ€‹docsearch.drop()PreviousClarifaiNextActiveloop's Deep LakeSetting up envrionmentsGet connection info and data schemaClickhouse table schemaFilteringDeleting your dataCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.