text: serverless inference as a service that provides access to a variety of LLMs and embeddings models. This notebook goes over how to use LangChain with DeepInfra for text embeddings.ğŸ“„ï¸� ElasticsearchWalkthrough of how to generate embeddings using a hosted embedding model in ElasticsearchğŸ“„ï¸� Embaasembaas is a fully managed NLP API service that offers features like embedding generation, document text extraction, document to embeddings and more. You can choose a variety of pre-trained models.ğŸ“„ï¸� Fake EmbeddingsLangChain also provides a fake embedding class. You can use this to test your pipelines.ğŸ“„ï¸� Google Cloud Platform Vertex AI PaLMNote: This is seperate from the Google PaLM integration. Google has chosen to offer an enterprise version of PaLM through GCP, and this supports the models made available through there.ğŸ“„ï¸� GPT4AllThis notebook explains how to use GPT4All embeddings with LangChain.ğŸ“„ï¸� Hugging Face HubLet's load the Hugging Face Embedding class.ğŸ“„ï¸� InstructEmbeddingsLet's load the HuggingFace instruct Embeddings class.ğŸ“„ï¸� JinaLet's load the Jina Embedding class.ğŸ“„ï¸� Llama-cppThis notebook goes over how to use Llama-cpp embeddings within LangChainğŸ“„ï¸� LocalAILet's load the LocalAI Embedding class. In order to use the LocalAI Embedding class, you need to have the LocalAI service hosted somewhere and configure the embedding models. See the documentation at https//localai.io/features/embeddings/index.html.ğŸ“„ï¸� MiniMaxMiniMax offers an embeddings