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[Doc] add embedding rerank doc (#7364)

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woodx
2025-06-20 12:53:54 +08:00
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docs/supported_models/embedding_models.md
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@@ -51,3 +51,4 @@ print("Embeddings:", [x.get("embedding") for x in response.get("data", [])])
| **GTE (QwenEmbeddingModel)** | `Alibaba-NLP/gte-Qwen2-7B-instruct` | N/A | Alibaba’s general text embedding model (7B), achieving state‑of‑the‑art multilingual performance in English and Chinese. |
| **GME (MultimodalEmbedModel)** | `Alibaba-NLP/gme-Qwen2-VL-2B-Instruct` | `gme-qwen2-vl` | Multimodal embedding model (2B) based on Qwen2‑VL, encoding image + text into a unified vector space for cross‑modal retrieval. |
| **CLIP (CLIPEmbeddingModel)** | `openai/clip-vit-large-patch14-336` | N/A | OpenAI’s CLIP model (ViT‑L/14) for embedding images (and text) into a joint latent space; widely used for image similarity search. |
| **BGE (BgeEmbeddingModel)** | `BAAI/bge-large-en-v1.5` | N/A | Currently only support `attention-backend` `triton` and `torch_native`. BAAI's BGE embedding models optimized for retrieval and reranking tasks. |