the approximate argument to True:query = "What did the president say about Ketanji Brown Jackson"results = db.similarity_search(query, approximate=True)# results[0][0].metadata["id"], "id:testapp:testapp::32")This covers most of the functionality in the Vespa vector store in LangChain.PreviousSemaDBNextWeaviateReturning with scoresAs retrieverMetadataCustom queryHybrid searchNative embedders in VespaApproximate nearest neighborCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query.
Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. ->: the approximate argument to True:query = "What did the president say about Ketanji Brown Jackson"results = db.similarity_search(query, approximate=True)# results[0][0].metadata["id"], "id:testapp:testapp::32")This covers most of the functionality in the Vespa vector store in LangChain.PreviousSemaDBNextWeaviateReturning with scoresAs retrieverMetadataCustom queryHybrid searchNative embedders in VespaApproximate nearest neighborCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.