BGE Small EN v1.5 (Embeddings)
BAAI · embedding · 1K context · 0.05× credits
Ultra-compact English embedding model producing 384-dimensional vectors for lowest-latency semantic search.
Model ID: mixerlead-ai/baai/bge-small-en-v1.5
Best for
- Low-latency search
- Compact vector stores
- High-volume indexing
# BGE Small EN v1.5 Guide\n\nGenerates compact 384-dimensional vectors for memory-efficient semantic search and high-throughput embedding pipelines.