Ambuj123-lab/agentic-rag-financial-parser
Enterprise RAG ecosystem managing 15,000+ semantic chunks. Features hybrid parsing (LlamaParse/PyMuPDF) and 256-dim MRL embeddings for 512MB RAM environments
This tool helps financial analysts, legal professionals, and operations teams quickly get precise answers from complex Indian financial and legal documents like the Union Budget, tax laws, and RBI guidelines. You input your specific questions about these documents, and it provides verified, grounded answers. It's designed for anyone who regularly needs to extract critical information from dense regulatory and financial texts.
Use this if you need to rapidly find and verify information within a large collection of Indian financial, banking, and legal documents without sifting through pages manually.
Not ideal if your primary need is general conversational AI or if you are working with documents outside of Indian financial and legal contexts.
Stars
40
Forks
18
Language
Python
License
—
Category
Last pushed
Mar 28, 2026
Commits (30d)
0
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