We have updated the new reranker, supporting larger lengths, more languages, and achieving better performance. FlagEmbedding Model List FAQ Usage Evaluation Train Citation License More details please refer to our Github: FlagEmbedding. English 中文 FlagEmbedding focuses on retrieval augmented LLMs, consisting of the following projects currently: Long Context LLM : Activation Beacon Fine tuning of LM : LM Cocktail Embedding Model : Visualized BGE, BGE M3, LLM Embedder, BGE Embedding Reranker Model : llm rerankers, BGE Reranker Benchmark : C MTEB News 3/18/2024: Release new rerankers, built upon powerful M3 and LLM (GEMMA and MiniCPM, not so large actually) backbones, supporitng multi lingual processing and larger inputs, massive improvements of ranking performances on BEIR, C MTEB/Retrieval, MIRACL, LlamaIndex Evaluation. 3/18/2024: Release Visualized BGE, equipping BGE with visual capabilities. Visualized BGE can be utilized to generate embeddings for hybrid image text data. 1/30/2024: Release BGE M3 , a new member to BGE model series! M3 stands for M ulti linguality (100+ languages), M ulti granularities (input length up to 8192), M ulti Functionality (unification of dense, lexical,…
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