Finance-Specific Embeddings: Achieving Precision in Financial Data Search
, Co-founder and CEO, LinqAlpha
, Researcher, LinqAlpha
, Assistant Professor, Yonsei University
, Co-founder, LinqAlpha
See how Linq-Embed-Finance improves the accuracy of financial data retrieval by up to 31% compared to general-purpose models. Leveraging the retrieval augmented generation (RAG) pipeline, Linq-Embed-Finance handles the complexities of financial documents such as earnings reports, 10-K/Q filings, and multistep queries. Learn how this model provides financial analysts with precise, context-rich information to make informed decisions across vast financial datasets.
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NVIDIA technology: CUDA,TensorRT,Triton Inference Server,RAPIDS,NeMo,NVIDIA NIM,NVIDIA AI Enterprise