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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

See the list of supported embedders below.
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.
https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/openai.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=c053d899474ab098eb247707fcbabb56

OpenAI

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/azure-color.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=15f73415f4af02e4442294a9d8490bfd

Azure OpenAI

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/ollama.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=31cf7c44b941b38e311372f091871b7f

Ollama

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/huggingface.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=d4305f5535bb7af030d1b105af7c36b6

Hugging Face

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/google-color.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=69e80423de8cfcfc8ab5f0e9d7acffa2

Google AI

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/vertexai.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=71903b4b514bd4380d3c81be3c68baab

Vertex AI

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/together-color.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=0d4f68126478c43579faca2b2857eef1

Together

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/lmstudio.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=f5991eea5ee6a166f4c996296479c39e

LM Studio

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/langchain-color.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=85a28798b84159e82fb56724fa0dc720

Langchain

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/bedrock-color.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=bb708e7d266b2fb81459fe967a8ac581

AWS Bedrock

https://mintcdn.com/mem0/QK-8_hblyHgAr7vt/images/provider-icons/qdrant.svg?fit=max&auto=format&n=QK-8_hblyHgAr7vt&q=85&s=c04b6c73d2755903dedc20c737b7a1ac

FastEmbed

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Usage

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. For a comprehensive list of available parameters for embedding model configuration, please refer to Config.