[이미지] Concerns over personal privacy with the AI plugin Discourse AI was built agnostic from AI providers since day one, so the admins can pick an AI provider that they trust with the data I’ve been struggling to set up Embeddings with Mistral AI, I suspect because Mistral requires a model to …

Try setting mistral-embed in the “Model name” field, that appears after you select “Provider” as OpenAI.

Thanks, that works :+1: I’m struggling to find out what would be the best tokenizer to use for this use case though. The Mixtral tokenizer is not selectable here. Do you have any suggestions?

Your post above token length according to some tokenizers: OpenAI: 45 Mixtral: 52 Gemini: 47 E5: 50 bge-large-en: 49 bge-m3: 50 mpnet: 49 Looks like Mistral-embed doesn’t differ much from the others. And since it supports a very large context window of 8k, you should be safe picking any and …

Looks like mistral-embed uses the same tokenizer as the first Mixtral model, and we already ship that anyway, so what do you think about enabling that tokenizer in the embeddings config page @Roman ?

Sure. I don’t see why not if it’s already there. This change will add it to the available options: https://github.com/discourse/discourse-ai/pull/1258

Mistral을 임베딩과 함께 구현하는 방법

제품 지원

Falco (Falco) 4월 9, 2025, 3:42오후 2

"Provider"를 OpenAI로 선택한 후 나타나는 “Model name” 필드에 mistral-embed를 입력해 보세요.

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Mistral을 임베딩과 함께 구현하는 방법

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