using doumentation as the ranking method. The userQuery() is replaced with the actual query
passed from LangChain.Please refer to the pyvespa documentation
for more information.Now you can return the results and continue using the results in LangChain.retriever.get_relevant_documents("what is vespa?")PreviousTF-IDFNextWeaviate Hybrid SearchCommunityDiscordTwitterGitHubPythonJS/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. ->: using doumentation as the ranking method. The userQuery() is replaced with the actual query
passed from LangChain.Please refer to the pyvespa documentation
for more information.Now you can return the results and continue using the results in LangChain.retriever.get_relevant_documents("what is vespa?")PreviousTF-IDFNextWeaviate Hybrid SearchCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.