text: 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 modelsText embedding modelsğŸ“„ï¸� Aleph AlphaThere are two possible ways to use Aleph Alpha's semantic embeddings. If you have texts with a dissimilar structure (e.g. a Document and a Query) you would want to use asymmetric embeddings. Conversely, for texts with comparable structures, symmetric embeddings are the suggested approach.ğŸ“„ï¸� AzureOpenAILet's load the OpenAI Embedding class with environment variables set to indicate to use Azure endpoints.ğŸ“„ï¸� Bedrock EmbeddingsğŸ“„ï¸� ClarifaiClarifai is an AI Platform that provides the full AI lifecycle ranging from data exploration, data labeling, model training, evaluation, and inference.ğŸ“„ï¸� CohereLet's load the Cohere Embedding class.ğŸ“„ï¸� DashScopeLet's load the DashScope Embedding class.ğŸ“„ï¸� DeepInfraDeepInfra is a serverless inference as a service that provides access to a variety of LLMs and embeddings models.