# High-dimensional Vector Retrieval

This is a fine-tuned sentence transformer model based on multilingual-e5-large, which maps text to a 1024-dimensional vector space for tasks such as semantic similarity calculation and text retrieval.

This is a sentence-transformers model fine-tuned from ModernBERT-large, designed to map sentences and paragraphs into a 1024-dimensional dense vector space, supporting tasks such as semantic textual similarity and semantic search.

This is a sentence-transformers model specifically trained for job title matching and similarity, fine-tuned on all-mpnet-base-v2 with training data containing numerous job titles and their related skills/requirements.