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35 lines
2.3 KiB
Plaintext
35 lines
2.3 KiB
Plaintext
---
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title: Overview
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description: "Overview of all supported embedding model providers in Mem0, including OpenAI, Azure, Ollama, and more."
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---
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Mem0 offers support for various embedding models, allowing users to choose the one that best suits their needs.
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## Supported Embedders
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See the list of supported embedders below.
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<Note>
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All embedders listed below are supported in the Python implementation. The TypeScript implementation supports: **OpenAI**, **Azure OpenAI**, **FastEmbed**, **Google AI**, **Langchain**, **LM Studio**, **Ollama**, and **Together**.
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</Note>
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<CardGroup cols={4}>
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<Card title="OpenAI" icon="/images/provider-icons/openai.svg" href="/components/embedders/models/openai"></Card>
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<Card title="Azure OpenAI" icon="/images/provider-icons/azure-color.svg" href="/components/embedders/models/azure_openai"></Card>
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<Card title="Ollama" icon="/images/provider-icons/ollama.svg" href="/components/embedders/models/ollama"></Card>
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<Card title="Hugging Face" icon="/images/provider-icons/huggingface.svg" href="/components/embedders/models/huggingface"></Card>
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<Card title="Google AI" icon="/images/provider-icons/google-color.svg" href="/components/embedders/models/google_AI"></Card>
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<Card title="Vertex AI" icon="/images/provider-icons/vertexai.svg" href="/components/embedders/models/vertexai"></Card>
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<Card title="Together" icon="/images/provider-icons/together-color.svg" href="/components/embedders/models/together"></Card>
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<Card title="LM Studio" icon="/images/provider-icons/lmstudio.svg" href="/components/embedders/models/lmstudio"></Card>
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<Card title="Langchain" icon="/images/provider-icons/langchain-color.svg" href="/components/embedders/models/langchain"></Card>
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<Card title="AWS Bedrock" icon="/images/provider-icons/bedrock-color.svg" href="/components/embedders/models/aws_bedrock"></Card>
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<Card title="FastEmbed" icon="/images/provider-icons/qdrant.svg" href="/components/embedders/models/fastembed"></Card>
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</CardGroup>
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## Usage
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To utilize an embedding model, you must provide a configuration to customize its usage. If no configuration is supplied, a default configuration will be applied, and `OpenAI` will be used as the embedding model.
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For a comprehensive list of available parameters for embedding model configuration, please refer to [Config](./config).
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