When using the mixpeek methods, you provide the model in each request regardless of method: extract, embed, and generate.

For instance mixpeek.extract(), mixpeek.embed() or mixpeek.generate()

mixpeek.embed("jinaai/jina-embeddings-v2-base-en")

The list below are all the embedding models currently supported in the SDK. For embed, use the dimensions to create your DB index.

We add models regularly, so if we’re missing any reach out.

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Models

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Embedding

NameModalityDimensionsURL
sentence-transformers/all-MiniLM-L6-v2Text384Sentence Transformers
nomic-ai/nomic-embed-text-v1Text768Nomic AI
jinaai/jina-embeddings-v2-base-enText768Jina AI
google-bert/bert-base-multilingual-uncasedText768Google BERT
mixedbread-ai/mxbai-embed-large-v1Text1024MixedBread AI
openai/clip-vit-base-patch32Text, Image512OpenAI Clip
mixpeek/vuse-generic-v1Text, Video768Mixpeek

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Generation

NameModalityURL
openai/gpt-3.5-turboTextGPT-3.5 Turbo
openai/gpt-4-turbo-previewTextGPT-4 Turbo Preview
openai/gpt-4-turboTextGPT-4 Turbo

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Extraction

Work in progress

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