FlagEmbedding (BGE) is a comprehensive retrieval toolkit that provides embedding models for semantic search and RAG systems. It offers both text embedding models (BGE) and multimodal embedding models (BGE-VL) supporting text-to-image, image-to-text, and cross-modal retrieval. The project includes the C-MTEB benchmark for evaluating embedding models and integrates with Hugging Face for model distribution.