modelsVector storesRetrieversToolsAgents and toolkitsMemoryCallbacksChat loadersProvidersMoreprovidersSemaDBOn this pageSemaDBSemaDB is a no fuss vector similarity search engine. It provides a low-cost cloud hosted version to help you build AI applications with ease.With SemaDB Cloud, our hosted version, no fuss means no pod size calculations, no schema definitions, no partition settings, no parameter tuning, no search algorithm tuning, no complex installation, no complex API. It is integrated with RapidAPI providing transparent billing, automatic sharding and an interactive API playground.Installation‚ÄãNone required, get started directly with SemaDB Cloud at RapidAPI.Vector Store‚ÄãThere is a basic wrapper around SemaDB collections allowing you to use it as a vectorstore.from langchain.vectorstores import SemaDBYou can follow a tutorial on how to use the wrapper in this notebook.PreviousPromptLayerNextPsychicInstallationVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
SemaDB is a no fuss vector similarity search engine. It provides a low-cost cloud hosted version to help you build AI applications with ease.
SemaDB is a no fuss vector similarity search engine. It provides a low-cost cloud hosted version to help you build AI applications with ease. ->: modelsVector storesRetrieversToolsAgents and toolkitsMemoryCallbacksChat loadersProvidersMoreprovidersSemaDBOn this pageSemaDBSemaDB is a no fuss vector similarity search engine. It provides a low-cost cloud hosted version to help you build AI applications with ease.With SemaDB Cloud, our hosted version, no fuss means no pod size calculations, no schema definitions, no partition settings, no parameter tuning, no search algorithm tuning, no complex installation, no complex API. It is integrated with RapidAPI providing transparent billing, automatic sharding and an interactive API playground.Installation‚ÄãNone required, get started directly with SemaDB Cloud at RapidAPI.Vector Store‚ÄãThere is a basic wrapper around SemaDB collections allowing you to use it as a vectorstore.from langchain.vectorstores import SemaDBYou can follow a tutorial on how to use the wrapper in this notebook.PreviousPromptLayerNextPsychicInstallationVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.