Learn how to build an intelligent application that combines Retrieval-Augmented Generation (RAG) and tool calling using Nvidia NIM and LangChain. This system provides real-time flight status updates and detailed baggage information by integrating these technologies. The guide covers prerequisites, setting up the environment, initializing the language model, creating a flight status tool, binding tools to the language model, document loading and processing, setting up vector stores, implementing retrieval functions, and building the RAG chain.
Table of contents
PrerequisitesSetting Up the EnvironmentInitializing the Language ModelCreating the Flight Status ToolBinding the Tool to the Language ModelLoading and Processing DocumentsSetting Up the Vector StoreImplementing the Retrieval FunctionUsing the Flight Status ToolBuilding the RAG ChainInvoking the AgentConclusionSort: