# Financial Semantic Embedding

This is a sentence embedding model fine-tuned on financial datasets based on BAAI/bge-small-en-v1.5, designed for semantic text similarity, semantic search, and related tasks.

This is the Investopedia embedding model developed by the FinLang team for financial applications. It is fine-tuned based on BAAI/bge-base-en-v1.5 and maps sentences and paragraphs into a 768-dimensional dense vector space, suitable for semantic search and other tasks in the financial domain.