# High-precision Vectorization

This is a fine-tuned sentence-transformers model specifically optimized for financial document retrieval tasks while maintaining general performance.

GGUF quantized version of the bge-m3 embedding model, suitable for efficient text embedding tasks

mxbai-embed-large-v1 is a sentence embedding model based on the BERT-large architecture, trained using AnglE loss function, supporting English text embedding, and offering multiple quantized versions to meet various needs.