text: index_name="my_embeddings")Similarity Searchâ€‹query = "What did the president say about Ketanji Brown Jackson"found_docs = vector_store.similarity_search(query)print(found_docs)Similarity Search with score (vector distance)â€‹query = "What did the president say about Ketanji Brown Jackson"result = vector_store.similarity_search_with_score(query)for doc, score in result:    print(f"document={doc}, score={score}")PreviousTairNextTypesenseInitialize Tigris vector storeSimilarity SearchSimilarity Search with score (vector distance)CommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.