How To Build a RAG Agent With Nvidia NIM and LangChain

An intelligent application combining Retrieval-Augmented Generation and tool calling is built using Nvidia NIM and LangChain. The system provides real-time flight status updates and baggage information by integrating a language model with document retrieval and external API access.

The application uses Meta Llama 3.1 450B model, retrieves baggage policy data from Emirates' website, and fetches live flight information through FlightAware AeroAPI. This approach enhances AI capabilities by bridging static knowledge with real-time data access.