luuisotorres/AML-MultiAgent-RAG
A Multi-Agent RAG platform using Vector DBs and AI models to accurately answer AML/CFT compliance queries.
This platform helps financial institutions and compliance officers quickly get accurate answers to complex Anti-Money Laundering and Counter-Financing of Terrorism (AML/CFT) compliance questions. It takes official regulatory documents from various jurisdictions (like the USA, EU, and Brazil) and allows users to ask questions in plain language, receiving precise, source-backed answers derived directly from these regulations. It's designed for compliance teams, legal departments, and risk managers who need to navigate dense legal texts efficiently.
No commits in the last 6 months.
Use this if you need to rapidly search and get precise answers from a large, complex collection of AML/CFT regulatory documents without manually sifting through them.
Not ideal if your primary need is general legal research outside of AML/CFT, or if you require a system for real-time transaction monitoring.
Stars
12
Forks
4
Language
Python
License
MIT
Category
Last pushed
Sep 08, 2025
Commits (30d)
0
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