text: EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by providerMetalOn this pageMetalThis page covers how to use Metal within LangChain.What is Metal?â€‹Metal is a  managed retrieval & memory platform built for production. Easily index your data into Metal and run semantic search and retrieval on it.Quick startâ€‹Get started by creating a Metal account.Then, you can easily take advantage of the MetalRetriever class to start retrieving your data for semantic search, prompting context, etc. This class takes a Metal instance and a dictionary of parameters to pass to the Metal API.from langchain.retrievers import MetalRetrieverfrom metal_sdk.metal import Metalmetal = Metal("API_KEY", "CLIENT_ID", "INDEX_ID");retriever = MetalRetriever(metal, params={"limit": 2})docs = retriever.get_relevant_documents("search term")PreviousMediaWikiDumpNextMicrosoft OneDriveWhat is Metal?Quick startCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.