Recommend switching to newest BAAI/bge large zh v1.5, which has more reasonable similarity distribution and same method of usage. FlagEmbedding Model List FAQ Usage Evaluation Train Contact Citation License More details please refer to our Github: FlagEmbedding. English 中文 FlagEmbedding can map any text to a low dimensional dense vector which can be used for tasks like retrieval, classification, clustering, or semantic search. And it also can be used in vector databases for LLMs. 🌟 Updates 🌟 10/12/2023: Release LLM Embedder, a unified embedding model to support diverse retrieval augmentation needs for LLMs. Paper :fire: 09/15/2023: The technical report of BGE has been released 09/15/2023: The masive training data of BGE has been released 09/12/2023: New models: New reranker model : release cross encoder models BAAI/bge reranker base and BAAI/bge reranker large , which are more powerful than embedding model. We recommend to use/fine tune them to re rank top k documents returned by embedding models. update embedding model : release bge v1.5 embedding model to alleviate the issue of the similarity distribution, and enhance its retrieval ability without instruction. More 09/07/2023:…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy