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haystack/docs-website/versioned_docs/version-2.20/pipeline-components/embedders.mdx
Haystack Bot 6355f6deae
Promote unstable docs for Haystack 2.20 (#10080) 
Co-authored-by: anakin87 <44616784+anakin87@users.noreply.github.com>
2025-11-13 18:00:45 +01:00

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---
title: "Embedders"
id: embedders
slug: "/embedders"
description: "Embedders in Haystack transform texts or documents into vector representations using pre-trained models. You can then use the embedding for tasks like question answering, information retrieval, and more."
---
# Embedders
Embedders in Haystack transform texts or documents into vector representations using pre-trained models. You can then use the embedding for tasks like question answering, information retrieval, and more.
:::info
For general guidance on how to choose an Embedder that would be right for you, read our [Choosing the Right Embedder](embedders/choosing-the-right-embedder.mdx) page.
:::
These are the Embedders available in Haystack:
| Embedder | Description |
| --- | --- |
| [AmazonBedrockTextEmbedder](embedders/amazonbedrocktextembedder.mdx) | Computes embeddings for text (such as a query) using models through Amazon Bedrock API. |
| [AmazonBedrockDocumentEmbedder](embedders/amazonbedrockdocumentembedder.mdx) | Computes embeddings for documents using models through Amazon Bedrock API. |
| [AmazonBedrockDocumentImageEmbedder](embedders/amazonbedrockdocumentimageembedder.mdx) | Computes image embeddings for a document. |
| [AzureOpenAITextEmbedder](embedders/azureopenaitextembedder.mdx) | Computes embeddings for text (such as a query) using OpenAI models deployed through Azure. |
| [AzureOpenAIDocumentEmbedder](embedders/azureopenaidocumentembedder.mdx) | Computes embeddings for documents using OpenAI models deployed through Azure. |
| [CohereTextEmbedder](embedders/coheretextembedder.mdx) | Embeds a simple string (such as a query) with a Cohere model. Requires an API key from Cohere |
| [CohereDocumentEmbedder](embedders/coheredocumentembedder.mdx) | Embeds a list of documents with a Cohere model. Requires an API key from Cohere. |
| [CohereDocumentImageEmbedder](embedders/coheredocumentimageembedder.mdx) | Computes the image embeddings of a list of documents and stores the obtained vectors in the embedding field of each document. |
| [FastembedTextEmbedder](embedders/fastembedtextembedder.mdx) | Computes the embeddings of a string using embedding models supported by Fastembed. |
| [FastembedDocumentEmbedder](embedders/fastembeddocumentembedder.mdx) | Computes the embeddings of a list of documents using the models supported by Fastembed. |
| [FastembedSparseTextEmbedder](embedders/fastembedsparsetextembedder.mdx) | Embeds a simple string (such as a query) into a sparse vector using the models supported by Fastembed. |
| [FastembedSparseDocumentEmbedder](embedders/fastembedsparsedocumentembedder.mdx) | Enriches a list of documents with their sparse embeddings using the models supported by Fastembed. |
| [GoogleGenAITextEmbedder](embedders/googlegenaitextembedder.mdx) | Embeds a simple string (such as a query) with a Google AI model. Requires an API key from Google. |
| [GoogleGenAIDocumentEmbedder](embedders/googlegenaidocumentembedder.mdx) | Embeds a list of documents with a Google AI model. Requires an API key from Google. |
| [HuggingFaceAPIDocumentEmbedder](embedders/huggingfaceapidocumentembedder.mdx) | Computes document embeddings using various Hugging Face APIs. |
| [HuggingFaceAPITextEmbedder](embedders/huggingfaceapitextembedder.mdx) | Embeds strings using various Hugging Face APIs. |
| [JinaTextEmbedder](embedders/jinatextembedder.mdx) | Embeds a simple string (such as a query) with a Jina AI Embeddings model. Requires an API key from Jina AI. |
| [JinaDocumentEmbedder](embedders/jinadocumentembedder.mdx) | Embeds a list of documents with a Jina AI Embeddings model. Requires an API key from Jina AI. |
| [JinaDocumentImageEmbedder](embedders/jinadocumentimageembedder.mdx) | Computes the image embeddings of a list of documents and stores the obtained vectors in the embedding field of each document. |
| [MistralTextEmbedder](embedders/mistraltextembedder.mdx) | Transforms a string into a vector using the Mistral API and models. |
| [MistralDocumentEmbedder](embedders/mistraldocumentembedder.mdx) | Computes the embeddings of a list of documents using the Mistral API and models. |
| [NvidiaTextEmbedder](embedders/nvidiatextembedder.mdx) | Embeds a simple string (such as a query) into a vector. |
| [NvidiaDocumentEmbedder](embedders/nvidiadocumentembedder.mdx) | Enriches the metadata of documents with an embedding of their content. |
| [OllamaTextEmbedder](embedders/ollamatextembedder.mdx) | Computes the embeddings of a string using embedding models compatible with the Ollama Library. |
| [OllamaDocumentEmbedder](embedders/ollamadocumentembedder.mdx) | Computes the embeddings of a list of documents using embedding models compatible with the Ollama Library. |
| [OpenAIDocumentEmbedder](embedders/openaidocumentembedder.mdx) | Embeds a list of documents with an OpenAI embedding model. Requires an API key from an active OpenAI account. |
| [OpenAITextEmbedder](embedders/openaitextembedder.mdx) | Embeds a simple string (such as a query) with an OpenAI embedding model. Requires an API key from an active OpenAI account. |
| [OptimumTextEmbedder](embedders/optimumtextembedder.mdx) | Embeds text using models loaded with the Hugging Face Optimum library. |
| [OptimumDocumentEmbedder](embedders/optimumdocumentembedder.mdx) | Computes documents’ embeddings using models loaded with the Hugging Face Optimum library. |
| [SentenceTransformersTextEmbedder](embedders/sentencetransformerstextembedder.mdx) | Embeds a simple string (such as a query) using a Sentence Transformer model. |
| [SentenceTransformersDocumentEmbedder](embedders/sentencetransformersdocumentembedder.mdx) | Embeds a list of documents with a Sentence Transformer model. |
| [SentenceTransformersDocumentImageEmbedder](embedders/sentencetransformersdocumentimageembedder.mdx) | Computes the image embeddings of a list of documents and stores the obtained vectors in the embedding field of each document. |
| [SentenceTransformersSparseTextEmbedder](embedders/sentencetransformerssparsetextembedder.mdx) | Embeds a simple string (such as a query) into a sparse vector using Sentence Transformers models. |
| [SentenceTransformersSparseDocumentEmbedder](embedders/sentencetransformerssparsedocumentembedder.mdx) | Enriches a list of documents with their sparse embeddings using Sentence Transformers models. |
| [STACKITTextEmbedder](embedders/stackittextembedder.mdx) | Enables text embedding using the STACKIT API. |
| [STACKITDocumentEmbedder](embedders/stackitdocumentembedder.mdx) | Enables document embedding using the STACKIT API. |
| [VertexAITextEmbedder](embedders/vertexaitextembedder.mdx) | Computes embeddings for text (such as a query) using models through VertexAI Embeddings API. **_This integration will be deprecated soon. We recommend using [GoogleGenAITextEmbedder](embedders/googlegenaitextembedder.mdx) integration instead._** |
| [VertexAIDocumentEmbedder](embedders/vertexaidocumentembedder.mdx) | Computes embeddings for documents using models through VertexAI Embeddings API. **_This integration will be deprecated soon. We recommend using [GoogleGenAIDocumentEmbedder](embedders/googlegenaidocumentembedder.mdx) integration instead._** |
| [WatsonxTextEmbedder](embedders/watsonxtextembedder.mdx) | Computes embeddings for text (such as a query) using IBM Watsonx models. |
| [WatsonxDocumentEmbedder](embedders/watsonxdocumentembedder.mdx) | Computes embeddings for documents using IBM Watsonx models. |
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