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Embedding Models

Embedding models optimized for financial text — OpenAI, Cohere, FinBERT, Voyage Finance-2 reviewed for financial document RAG pipelines.

5 tools

Most widely used embedding API with text-embedding-3-large, multilingual support, and flexible dimensions via Matryoshka representation.

Best multilingual embedding model supporting 100+ languages with on-premise deployment option and binary embeddings.

Finance-specific BERT model fine-tuned on Reuters TRC2 for financial sentiment analysis and document classification.

Purpose-built embedding model for finance with best-in-class retrieval accuracy, recommended by Anthropic for RAG.

BAAI multi-lingual multi-granularity embedding model supporting 100+ languages with dense, sparse, and multi-vector output.