text: InstructEmbeddings | ğŸ¦œï¸�ğŸ”— Langchain
  
  
  
  
  
  Skip to main contentğŸ¦œï¸�ğŸ”— LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsMemoryRetrieversText embedding modelsAleph AlphaAzureOpenAIBedrock EmbeddingsClarifaiCohereDashScopeDeepInfraElasticsearchEmbaasFake EmbeddingsGoogle Cloud Platform Vertex AI PaLMGPT4AllHugging Face HubInstructEmbeddingsJinaLlama-cppLocalAIMiniMaxModelScopeMosaicML embeddingsNLP CloudOpenAISageMaker Endpoint EmbeddingsSelf Hosted EmbeddingsSentence Transformers EmbeddingsSpacy EmbeddingTensorflowHubAgent toolkitsToolsVector storesGrouped by providerIntegrationsText embedding modelsInstructEmbeddingsInstructEmbeddingsLet's load the HuggingFace instruct Embeddings class.from langchain.embeddings import HuggingFaceInstructEmbeddingsembeddings = HuggingFaceInstructEmbeddings(    query_instruction="Represent the query for retrieval: ")    load INSTRUCTOR_Transformer    max_seq_length  512text = "This is a test document."query_result = embeddings.embed_query(text)PreviousHugging Face HubNextJinaCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.