| AmazonBedrockTextEmbedder |
Computes embeddings for text (such as a query) using models through Amazon Bedrock API. |
| AmazonBedrockDocumentEmbedder |
Computes embeddings for documents using models through Amazon Bedrock API. |
| AzureOpenAITextEmbedder |
Computes embeddings for text (such as a query) using OpenAI models deployed through Azure. |
| AzureOpenAIDocumentEmbedder |
Computes embeddings for documents using OpenAI models deployed through Azure. |
| CohereTextEmbedder |
Embeds a simple string (such as a query) with a Cohere model. Requires an API key from Cohere |
| CohereDocumentEmbedder |
Embeds a list of documents with a Cohere model. Requires an API key from Cohere. |
| FastembedTextEmbedder |
Computes the embeddings of a string using embedding models supported by Fastembed. |
| FastembedDocumentEmbedder |
Computes the embeddings of a list of documents using the models supported by Fastembed. |
| FastembedSparseTextEmbedder |
Embeds a simple string (such as a query) into a sparse vector using the models supported by Fastembed. |
| FastembedSparseDocumentEmbedder |
Enriches a list of documents with their sparse embeddings using the models supported by Fastembed. |
| HuggingFaceAPIDocumentEmbedder |
Computes document embeddings using various Hugging Face APIs. |
| HuggingFaceAPITextEmbedder |
Embeds strings using various Hugging Face APIs. |
| JinaTextEmbedder |
Embeds a simple string (such as a query) with a Jina AI Embeddings model. Requires an API key from Jina AI. |
| JinaDocumentEmbedder |
Embeds a list of documents with a Jina AI Embeddings model. Requires an API key from Jina AI. |
| MistralTextEmbedder |
Transforms a string into a vector using the Mistral API and models. |
| MistralDocumentEmbedder |
Computes the embeddings of a list of documents using the Mistral API and models. |
| NvidiaTextEmbedder |
Embeds a simple string (such as a query) into a vector. |
| NvidiaDocumentEmbedder |
Enriches the metadata of documents with an embedding of their content. |
| OllamaTextEmbedder |
Computes the embeddings of a string using embedding models compatible with the Ollama Library. |
| OllamaDocumentEmbedder |
Computes the embeddings of a list of documents using embedding models compatible with the Ollama Library. |
| OpenAIDocumentEmbedder |
Embeds a list of documents with an OpenAI embedding model. Requires an API key from an active OpenAI account. |
| OpenAITextEmbedder |
Embeds a simple string (such as a query) with an OpenAI embedding model. Requires an API key from an active OpenAI account. |
| OptimumTextEmbedder |
Embeds text using models loaded with the Hugging Face Optimum library. |
| OptimumDocumentEmbedder |
Computes documents’ embeddings using models loaded with the Hugging Face Optimum library. |
| SentenceTransformersTextEmbedder |
Embeds a simple string (such as a query) using a Sentence Transformer model. |
| SentenceTransformersDocumentEmbedder |
Embeds a list of documents with a Sentence Transformer model. |
| STACKITTextEmbedder |
Enables text embedding using the STACKIT API. |
| STACKITDocumentEmbedder |
Enables document embedding using the STACKIT API. |