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Platform: Add Amazon Bedrock models for Embedder node (#453)
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platform/embedding.mdx

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## Generate embeddings
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To generate embeddings, choose one of the following embedding providers and models in the **Providers** section of an **Embedder** node in a workflow:
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To generate embeddings, choose one of the following embedding providers and models in the **Select Embedding Model** section of an **Embedder** node in a workflow:
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<Note>You can change a workflow's preconfigured provider only through [Custom](/platform/workflows#create-a-custom-workflow) workflow settings.</Note>
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- **Azure OpenAI**: Use [Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service) to generate embeddings. Also, choose the model to use:
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- **Azure OpenAI**: Use [Azure OpenAI](https://azure.microsoft.com/products/ai-services/openai-service) to generate embeddings with one of the following models:
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- **text-embedding-3-small**, with 1536 dimensions.
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- **text-embedding-3-large**, with 3072 dimensions.
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- **Ada 002 (Text)** (`text-embedding-ada-002`), with 1536 dimensions.
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[Learn more](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#embeddings).
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- **TogetherAI**: Use [TogetherAI](https://www.together.ai/) to generate embeddings. Also, choose the model to use:
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- **Amazon Bedrock**: Use [Amazon Bedrock](https://aws.amazon.com/bedrock) to generate embeddings with one of the following models:
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- **Titan Text Embeddings V2**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
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- **Titan Embeddings G1 - Text**, with 1536 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
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- **Titan Multimodal Embeddings G1**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-multiemb-models.html).
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- **Cohere Embed English**, with 1024 embeddings. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
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- **Cohere Embed Multilingual**, with 1024 embedding. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
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- **TogetherAI**: Use [TogetherAI](https://www.together.ai/) to generate embeddings with one of the following models:
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- **M2-BERT-80M-2K-Retrieval**, with 768 dimensions.
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- **M2-BERT-80M-8K-Retrieval**, with 768 dimensions.
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- **M2-BERT-80M-32K-Retrieval**, with 768 dimensions.
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[Learn more](https://docs.together.ai/docs/serverless-models#embedding-models).
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[Learn more](https://docs.together.ai/docs/serverless-models#embedding-models).

platform/workflows.mdx

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[Learn more](/platform/summarizing).
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</Accordion>
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<Accordion title="Embedder node">
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For **Providers**, select one of the following:
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For **Select Embedding Model**, select one of the following:
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- **Azure OpenAI**: Use Azure OpenAI to generate embeddings. Also, choose the model to use:
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- **Azure OpenAI**: Use Azure OpenAI to generate embeddings with one of the following models:
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- **text-embedding-3-small**, with 1536 dimensions.
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- **text-embedding-3-large**, with 3072 dimensions.
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- **Ada 002 (Text)** (`text-embedding-ada-002`), with 1536 dimensions.
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[Learn more](https://learn.microsoft.com/azure/ai-services/openai/concepts/models#embeddings).
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- **TogetherAI**: Use TogetherAI to generate embeddings. Also, choose the model to use:
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- **Amazon Bedrock**: Use Amazon Bedrock to generate embeddings with one of the following models:
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- **Titan Text Embeddings V2**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
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- **Titan Embeddings G1 - Text**, with 1536 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-embedding-models.html).
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- **Titan Multimodal Embeddings G1**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/titan-multiemb-models.html).
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- **Cohere Embed English**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
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- **Cohere Embed Multilingual**, with 1024 dimensions. [Learn more](https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-embed.html).
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- **TogetherAI**: Use TogetherAI to generate embeddings with one of the following models:
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- **M2-BERT-80M-2K-Retrieval**, with 768 dimensions.
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- **M2-BERT-80M-8K-Retrieval**, with 768 dimensions.

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