Models
Available Models
Overview of embedding model options from simple to advanced
Mixpeek offers three tiers of embedding model implementations, ranging from simplified multimodal options to custom enterprise solutions.
1. Simplified Multimodal Models
These models provide an easy-to-use interface for common modalities. Mixpeek automatically selects and updates the most performant models based on industry benchmarks.
Modality | Model ID | Vector Size | Benchmarks | Description |
---|---|---|---|---|
Text | text | 1024 | MTEB Leaderboard | General purpose text embedding |
Image | image | 512 | ImageNet | Visual feature extraction |
Multimodal | multimodal | 1024 | ActivityNet | Temporal video understanding |
Audio | audio | 768 | SUPERB | Audio feature extraction |
Keyword | keyword | Sparse | - | Sparse text embeddings |
Example usage:
2. Hosted Model Selection
For more control, you can specify exact model implementations:
Model ID | Modalities | Vector Size | Type | Provider |
---|---|---|---|---|
baai-bge-m3 | Text | 1024 | Dense | BAAI |
openai-clip-vit-base-patch32 | Image, Text | 512 | Dense | OpenAI |
naver-splade-v3 | Text | Sparse | Sparse | Naver |
vertex-multimodal | Image, Video, Text | 1408 | Dense |
Example usage:
Email us for help deciding which model is best for your use case at no cost: info@mixpeek.com
3. Custom Model Integration
Enterprise customers can integrate their own models:
- Deploy your model with a compatible API
- Register the model in your namespace
- Use your custom model ID in requests
Example configuration:
Example usage:
Enterprise Feature: Requires namespace configuration, email us for more info: info@mixpeek.com
Model Registry Details
Each model in the registry includes:
- Supported modalities
- Vector type (dense or sparse)
- Output dimensions
- Hosting location and provider
- Performance metrics
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