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add expandable list
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@@ -25,8 +25,12 @@ FastEmbed easily integrates with Qdrant for a variety of multimodal search purpo
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## Supported Models
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We are continuously updating the list with better and useful models. Please note that this list changes often.
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Click on each list to expand it.
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<details>
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<summary> Text Embedding Models </summary>
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### Text Embedding Models
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| model | dim | description | size_in_GB |
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|--------------------------------------------|-----|---------------------------------------------------------------------------------|------------|
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| BAAI/bge-small-en-v1.5 | 384 | Fast and Default English model | 0.067 |
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@@ -55,7 +59,12 @@ We are continuously updating the list with better and useful models. Please note
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| BAAI/bge-large-en-v1.5 | 1024 | Large English model, v1.5 | 1.200 |
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| intfloat/multilingual-e5-large | 1024 | Multilingual model, e5-large. Recommend using ... | 2.240 |
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### Image Embedding Models
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</details>
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<details>
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<summary> Image Embedding Models </summary>
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| model | dim | description | size_in_GB |
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|-----------------------------|------|------------------------------------------------------|------------|
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| Qdrant/resnet50-onnx | 2048 | ResNet-50 from `Deep Residual Learning for Ima... | 0.10 |
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@@ -63,7 +72,12 @@ We are continuously updating the list with better and useful models. Please note
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| Qdrant/Unicom-ViT-B-32 | 512 | Unicom Unicom-ViT-B-32 from open-metric-learning | 0.48 |
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| Qdrant/Unicom-ViT-B-16 | 768 | Unicom Unicom-ViT-B-16 from open-metric-learning | 0.82 |
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### Sparse Embedding Models
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</details>
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<details>
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<summary> Sparse Embedding Models </summary>
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| model | vocab_size | description | size_in_GB | requires_idf |
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|---------------------------------------------|------------|-----------------------------------------------------------------------------------|------------|--------------|
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| Qdrant/bm25 | NaN | BM25 as sparse embeddings meant to be used with... | 0.010 | True |
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@@ -71,7 +85,14 @@ We are continuously updating the list with better and useful models. Please note
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| prithvida/Splade_PP_en_v1 | 30522.0 | Misspelled version of the model. Retained for... | 0.532 | NaN |
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| prithivida/Splade_PP_en_v1 | 30522.0 | Independent Implementation of SPLADE++ Model for dense and sparse retrieval tasks | 0.532 | NaN |
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### Late Interaction Embedding Models
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</details>
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<details>
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<summary> Late Interactio Embedding Models </summary>
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| model | dim | description | size_in_GB |
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|--------------------------|-----|-------------------------|------------|
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| colbert-ir/colbertv2.0 | 128 | Late interaction model | 0.44 |
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</details>
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