This project develops a smart chatbot

that integrates Retrieval Augmented Generation (RAG) capabilities

with a tool-based agent.

It uses prompt engineering techniques to precisely guide the LLM's behavior.

It routes user queries to either retrieve information from existing documents

or execute specific tools for actions (such as updating user details or adding vendors).

If the bot is unsure of an answer, it escalates the user to a human service queue.

See the chatbot in action, including its RAG capabilities and tool execution, in this video: https://github.com/SaraShimon/ChatBot/releases/download/v1.0.0/DEMO.mov