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README.md

@@ -19,7 +19,7 @@ license: apache-2.0
 
 Despite its compact size, GeeVec-Embeddings-1.0-Lite delivers strong performance across a wide range of benchmarks. It achieves SOTA performance among small-size (<1B) models on the MMTEB(Multilingual, v2) retrieval task, with an nDCG@10 score of **70.91** (as of 2026/04/02). It also performs competitively on MMTEB(eng, v2), BEIR, CoIR, and BRIGHT, demonstrating strong retrieval capability despite its lightweight design.
 
-Meanwhile, we also provide an API service for a larger 8B-scale model, **GeeVec-Embeddings-1.0**. Like GeeVec-Embeddings-1.0-Lite, it is optimized for retrieval tasks and supports the same three domains: `general`, `coding`, and `reasoning`. GeeVec-Embeddings-1.0 achieves SOTA performance on the MMTEB(Multilingual, v2) retrieval task, with an nDCG@10 score of **79.94** (as of 2026/04/02). API usage documentation: https://www.geevec.com/documentation.
+Meanwhile, we also provide an API service for a larger 8B-scale model, **GeeVec-Embeddings-1.0**. Like GeeVec-Embeddings-1.0-Lite, it is optimized for retrieval tasks and supports the same three domains: `general`, `coding`, and `reasoning`. GeeVec-Embeddings-1.0 achieves SOTA performance on the MMTEB(Multilingual, v2) retrieval task, with an nDCG@10 score of **79.94** (as of 2026/04/02). API usage documentation: https://www.geevec.com/documentation. & https://geeknow.geevec.com/embedding_model/