Shypd.aiThe largest open index of AI toolsFlagEmbedding is an open-source toolkit for retrieval and retrieval-augmented LLMs. It provides models and functionalities for search and RAG applications, including multimodal embedding models.
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FlagEmbedding is a comprehensive, open-source toolkit designed for retrieval and retrieval-augmented Large Language Models (LLMs). It offers a suite of functionalities for search and RAG applications, including various embedding models like BGE-VL for multimodal visual search and BGE-M3 for multi-linguality, multi-granularity, and multi-functionality. The toolkit also provides reranker models to enhance search accuracy. FlagEmbedding supports both inference and fine-tuning of these models, making it a versatile solution for developers and researchers working on advanced information retrieval systems. It is actively maintained with ongoing updates, tutorials, and community support, ensuring users have access to the latest advancements in the field.
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