It is broken into two parts: installation and setup, and then references to specific DashVector wrappers.Installation and Setup‚ÄãInstall the Python SDK:pip install dashvectorVectorStore‚ÄãA DashVector Collection is wrapped as a familiar VectorStore for native usage within LangChain,
which allows it to be readily used for various scenarios, such as semantic search or example selection.You may import the vectorstore by:from langchain.vectorstores import DashVectorFor a detailed walkthrough of the DashVector wrapper, please refer to this notebookPreviousC TransformersNextDatabricksInstallation and SetupVectorStoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
DashVector is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements.
DashVector is a fully-managed vectorDB service that supports high-dimension dense and sparse vectors, real-time insertion and filtered search. It is built to scale automatically and can adapt to different application requirements. ->: It is broken into two parts: installation and setup, and then references to specific DashVector wrappers.Installation and Setup‚ÄãInstall the Python SDK:pip install dashvectorVectorStore‚ÄãA DashVector Collection is wrapped as a familiar VectorStore for native usage within LangChain,
which allows it to be readily used for various scenarios, such as semantic search or example selection.You may import the vectorstore by:from langchain.vectorstores import DashVectorFor a detailed walkthrough of the DashVector wrapper, please refer to this notebookPreviousC TransformersNextDatabricksInstallation and SetupVectorStoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.