Fin-Rag A Rag System for Financial Documents

Fin-RAG (Financial Retrieval-Augmented Generation) is an AI-powered chatbot system designed to simplify and accelerate financial data retrieval. Built on Retrieval-Augmented Generation (RAG), it enables natural language querying of financial documents, delivering accurate and context-aware responses in real time. The system supports both text-based and image-based documents, utilizing advanced NLP and image recognition capabilities. Users can extract key insights from balance sheets, profit and loss statements, and scanned invoices effortlessly. Fin-RAG leverages domain-specific embeddings via Hugging Face’s Inference API for precise and relevant search results. Key features include real-time insights, automated reporting, semantic search, and multimodal document analysis. Scalable and compliant, Fin-RAG improves financial decision-making efficiency. It is ideal for auditing, corporate finance, and strategic analysis.

Authors

Publication Details

Published
2025-04-30
DOI
https://doi.org/10.38124/ijisrt/25apr1147
Citations
4
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
9.14
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Fin-Rag A Rag System for Financial Documents

K. E. Kannammal, Mr. Anirudh R K, Kuzhali Tamizhiniyal P, G Ganishkar et al.
4 citations
FinTech, Crowdfunding, Digital Finance
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article

Fin-Rag A Rag System for Financial Documents

K. E. Kannammal, Mr. Anirudh R K, Kuzhali Tamizhiniyal P, G Ganishkar, C Adrinath
article en
4 citations

Abstract

Fin-RAG (Financial Retrieval-Augmented Generation) is an AI-powered chatbot system designed to simplify and accelerate financial data retrieval. Built on Retrieval-Augmented Generation (RAG), it enables natural language querying of financial documents, delivering accurate and context-aware responses in real time. The system supports both text-based and image-based documents, utilizing advanced NLP and image recognition capabilities. Users can extract key insights from balance sheets, profit and loss statements, and scanned invoices effortlessly. Fin-RAG leverages domain-specific embeddings via Hugging Face’s Inference API for precise and relevant search results. Key features include real-time insights, automated reporting, semantic search, and multimodal document analysis. Scalable and compliant, Fin-RAG improves financial decision-making efficiency. It is ideal for auditing, corporate finance, and strategic analysis.

Openalex Percentile: Top 3%
FinTech, Crowdfunding, Digital Finance
9.14
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