# AI Agent FrameWork

A demonstration enterprise-grade retrieval-augmented generation system with a Next.js chat frontend, a FastAPI backend, and a LangChain AI layer, built for on-premise deployment in data-sensitive industries such as banking and healthcare.

This project demonstrates a complete RAG (Retrieval-Augmented Generation) system with a three-tier architecture: a Next.js frontend for an interactive chat UI, a FastAPI backend for business logic, and a LangChain-powered AI layer for generating responses.

It streams conversations in real time over Server-Sent Events, and supports local deployment with Ollama and Weaviate to keep data private, alongside JWT authentication and Docker containerization, aimed at data-sensitive industries such as banking, healthcare, insurance, and education that require secure, on-premise deployment.

The author maintains an accompanying video tutorial series on the topic.

Website: https://github.com/kang-airtc/ai-agent-framework