BGE Base EN v1.5 (Embeddings)
BAAI · embedding · 1K context · 0.08× credits
High-speed English embedding model transforming text into 768-dimensional vectors for semantic search and retrieval.
Model ID: mixerlead-ai/baai/bge-base-en-v1.5
Best for
- English vector search
- Semantic matching
- Fast retrieval
# BGE Base EN v1.5 Guide\n\nGenerates dense 768-dimensional vectors optimized for fast English text similarity and vector database indexing.