LiquidAI
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LFM2.5-ColBERT-350M

Sentence Similarity

sentence-transformers

feature-extraction

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EdoardoMosca commited on Jun 17

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@@ -52,7 +52,7 @@ We release two new **best-in-class multilingual retrieval** models:
 Both models are 350M params and the first bidirectional members of the LFM family, built on [LFM2.5-350M-Base](https://huggingface.co/LiquidAI/LFM2.5-350M-Base). They can be used as a **drop-in replacement** for your current RAG pipeline and target fast, cheap, and reliable multilingual / cross-lingual search across 11 languages.
-Find more details about the bidirectional architecture and training recipe in our [blog post](https://www.liquid.ai/blog).
 ![colbert_retrieval](https://cdn-uploads.huggingface.co/production/uploads/63f389fda096536aeaae0a66/8J_3tsS-wDq77qeDpDgOd.png)

 Both models are 350M params and the first bidirectional members of the LFM family, built on [LFM2.5-350M-Base](https://huggingface.co/LiquidAI/LFM2.5-350M-Base). They can be used as a **drop-in replacement** for your current RAG pipeline and target fast, cheap, and reliable multilingual / cross-lingual search across 11 languages.
+Find more details about the bidirectional architecture and training recipe in our [blog post](https://www.liquid.ai/blog/lfm2-5-retrievers).
 ![colbert_retrieval](https://cdn-uploads.huggingface.co/production/uploads/63f389fda096536aeaae0a66/8J_3tsS-wDq77qeDpDgOd.png)