text: -------   -------   -------   -------  -------      embedding  generic  (8, 1536)  float32   None           ids      text     (8, 1)      str     None        metadata    json     (8, 1)      str     None          text      text     (8, 1)      str     None            ['ad42f3fe-e188-11ed-b66d-41c5f7b85421',     'ad42f3ff-e188-11ed-b66d-41c5f7b85421',     'ad42f400-e188-11ed-b66d-41c5f7b85421',     'ad42f401-e188-11ed-b66d-41c5f7b85421']PreviousClickHouse Vector SearchNextDocArrayHnswSearchRetrieval Question/AnsweringAttribute based filtering in metadataChoosing distance functionMaximal Marginal relevanceDelete datasetDeep Lake datasets on cloud (Activeloop, AWS, GCS, etc.) or in memoryTQL SearchCreating vector stores on AWS S3Deep Lake APITransfer local dataset to cloudCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.