BGE-M3 is named for its capabilities in Multi-Linguality, Multi-Functionality, and Multi-Granularity. Capable of supporting over 100 languages, BGE-M3 sets new benchmarks in multi-lingual and cross-lingual retrieval tasks. Its unique ability to perform dense retrieval, multi-vector retrieval, and sparse retrieval within a single framework makes it an ideal choice for a wide range of information retrieval (IR) applications. (View Highlight)
Milvus integrates with the BGE M3 model using the BGEM3EmbeddingFunction class. This class handles the computation of embeddings and returns them in a format compatible with Milvus for indexing and searching. To use this feature, FlagEmbedding must be installed. (View Highlight)
