This project focuses on building a chatbot powered by Large Language Models (LLMs), specifically designed for the banking sector. Leveraging semantic guardrails, the chatbot is engineered to provide informative and secure customer interactions while avoiding responses to malicious inquiries.
The banking sector demands high accuracy and security due to the sensitive nature of financial information. This chatbot aims to enhance customer service by answering queries related to banking products, services, and general advice, with a built-in mechanism to filter out inappropriate content.
- Semantic Guardrails: Filters out irrelevant or potentially harmful queries.
- LLM Integration: Utilizes advanced LLMs for dynamic and accurate responses.
- Banking Sector Focus: Tailored to address common banking queries effectively.
- Scalable Architecture: Designed for easy integration and scalability within banking systems.