add expandable list

This commit is contained in:
davidmyriel
2024-08-05 19:13:24 -07:00
parent 3ed1bde499
commit d404130893
@@ -25,8 +25,12 @@ FastEmbed easily integrates with Qdrant for a variety of multimodal search purpo
## Supported Models
We are continuously updating the list with better and useful models. Please note that this list changes often.
Click on each list to expand it.
<details>
<summary> Text Embedding Models </summary>
### Text Embedding Models
| model | dim | description | size_in_GB |
|--------------------------------------------|-----|---------------------------------------------------------------------------------|------------|
| BAAI/bge-small-en-v1.5 | 384 | Fast and Default English model | 0.067 |
@@ -55,7 +59,12 @@ We are continuously updating the list with better and useful models. Please note
| BAAI/bge-large-en-v1.5 | 1024 | Large English model, v1.5 | 1.200 |
| intfloat/multilingual-e5-large | 1024 | Multilingual model, e5-large. Recommend using ... | 2.240 |
### Image Embedding Models
</details>
<details>
<summary> Image Embedding Models </summary>
| model | dim | description | size_in_GB |
|-----------------------------|------|------------------------------------------------------|------------|
| Qdrant/resnet50-onnx | 2048 | ResNet-50 from `Deep Residual Learning for Ima... | 0.10 |
@@ -63,7 +72,12 @@ We are continuously updating the list with better and useful models. Please note
| Qdrant/Unicom-ViT-B-32 | 512 | Unicom Unicom-ViT-B-32 from open-metric-learning | 0.48 |
| Qdrant/Unicom-ViT-B-16 | 768 | Unicom Unicom-ViT-B-16 from open-metric-learning | 0.82 |
### Sparse Embedding Models
</details>
<details>
<summary> Sparse Embedding Models </summary>
| model | vocab_size | description | size_in_GB | requires_idf |
|---------------------------------------------|------------|-----------------------------------------------------------------------------------|------------|--------------|
| Qdrant/bm25 | NaN | BM25 as sparse embeddings meant to be used with... | 0.010 | True |
@@ -71,7 +85,14 @@ We are continuously updating the list with better and useful models. Please note
| prithvida/Splade_PP_en_v1 | 30522.0 | Misspelled version of the model. Retained for... | 0.532 | NaN |
| prithivida/Splade_PP_en_v1 | 30522.0 | Independent Implementation of SPLADE++ Model for dense and sparse retrieval tasks | 0.532 | NaN |
### Late Interaction Embedding Models
</details>
<details>
<summary> Late Interactio Embedding Models </summary>
| model | dim | description | size_in_GB |
|--------------------------|-----|-------------------------|------------|
| colbert-ir/colbertv2.0 | 128 | Late interaction model | 0.44 |
</details>