BCEmbedding
BCEmbedding, developed by Youdao, offers a robust bilingual and crosslingual framework designed for efficient semantic vector generation and retrieval. Featuring both EmbeddingModel and RerankerModel, it is optimized for accurate search results and improved ranking. As a key component in Retrieval Augmented Generation (RAG), BCEmbedding supports languages such as Chinese, English, Japanese, and Korean, catering to sectors like education, law, and finance. It integrates effectively with LangChain and LlamaIndex platforms, delivering comprehensive embeddings and reranking solutions. The models have shown consistent performance across various linguistic settings and are validated by evaluations and Youdao's product use cases.