Sgansallo/AI_CHATBOT_Fintech-RAG-QA-System

AI_CHATBOT_Fintech-RAG-QA-System is a Retrieval-Augmented Generation (RAG) chatbot for answering fintech policy questions. It combines semantic embeddings with a FLAN‑T5 generative model to retrieve relevant policy passages and produce natural-language answers. The project was developed as part of MSc Data Science coursework. Intended users are the author, course instructors and students, and researchers or practitioners exploring automated QA over regulatory or policy documents in fintech. Key features include embedding-based retrieval of domain texts, integration with FLAN‑T5 for generation, and a reproducible RAG QA pipeline demonstrating how embeddings and an LLM can be applied to domain-specific policy question answering.

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