This sample demonstrates a simple LangGraph agent that performs basic arithmetic operations and showcases nested traced invocations.
This sample shows how to build an AI assistant using LangGraph and Tavily search for movie research and recommendations.
This sample demonstrates how to create an agent that researches companies and develops outreach strategies using web search capabilities.
This sample shows how to automate Outlook inbox organization with AI-powered rule suggestions and human-in-the-loop approval.
This sample demonstrates a FastAPI server for managing human-in-the-loop workflows with job submissions and inbox message approvals.
This sample showcases a multi-agent system, involving a supervisor, a researcher, and a coder working in coordination to tackle complex tasks.
Here, a multi-agent system breaks down complex tasks into discreet steps, routing them to specialized agents. Each agent operates independently and can be deployed as a separate process. The system includes a planner, researcher, and coder agent.
The RAG Sample project demonstrates the implementation of a Retrieval-Augmented Generation (RAG) system using UiPath Context Grounding.
This example shows how to retrieve relevant documents for a query, using the UiPath Context Grounding vectorstore. It also integrates this into a Langchain retrieval chain for response formulation.
This sample shows how to create an agent using LangGraph with multiple tool servers via the MCP (Model Context Protocol) standard.
This sample demonstrates the creation of an agent using LangGraph, which connects to a remote MCP (Model Context Protocol) Server.
This sample demonstrates using the DeepAgents library to create an agent with advanced planning, sub-agent delegation, and web search capabilities.
This sample shows how to build a LangGraph agent that connects to a remote UiPath MCP server using OAuth authentication through an external UiPath application for dynamic access token management.
This sample demonstrates automatic classification of support tickets into categories. It includes a human approval step via UiPath Action Center.