Translation: Patrick Kalkman Unleash Your AI Agent: Automate Time Tracking With LangGraph and Meta Llama 3 Github: https://github.com/PatrickKalkman/hour_registration_agent_public Overhead view, a hand holding a pencil hovering above a printed calendar on a wooden desk. Next to the calendar is a silver clip, a small potted plant, and a simulated clock showing around 10:09. The desk … Read more
Previous Content Learning LangGraph from Scratch – (1) Introduction to LangGraph Learning LangGraph – Tool Invocation in LangGraph (Part 2) In the previous chapters, we defined a tool invocation class ourselves. However, through the official documentation, we found that there is a ToolNode class that can simplify the tool invocation process. In this article, we … Read more
• Hello everyone, I am student Xiao Zhang, sharing AI knowledge and practical cases daily. • Welcome to like + follow 👏, continue learning, and keep delivering valuable content. • +v: jasper_8017 Let’s communicate 💬 and progress together 💪. Overview of Articles in Official Account Continuing from the previous article (【AI Agent】【LangGraph】0. Quick Start: Collaborating … Read more
Introduction AI Travel Agent is an intelligent travel assistant built on LangGraph, designed to provide users with a seamless travel planning experience through multiple language models. This product can handle tasks such as flight inquiries, hotel bookings, and personalized email sending, greatly improving users’ travel efficiency. Its main advantages include stateful interaction, user control over … Read more
In previous articles, we have been using the <span>app.invoke(inputs)</span> method to execute workflows. The invoke method returns the final execution result of the entire stream to the caller all at once. If the workflow execution time is long, the waiting time for users will also be long, leading to a poor experience. Currently, mainstream large … Read more
LangGraph is a programming framework that modularizes task workflows, building flexible and efficient intelligent dialogue systems through State Graphs. This article will gradually delve into the core concepts of graph programming in LangGraph through 3 mini-programs, helping you quickly get started and understand its practical application potential, as well as an initial understanding of Agent … Read more
1. From Confusion to Curiosity: First Impressions of LangGraph In this era deeply permeated by large model technology, while we enjoy the many conveniences it brings, we are also faced with a series of thorny issues. Take my daily work with large models, for instance; they indeed perform excellently in handling simple tasks, such as … Read more
How to Obtain Resources 1. Follow the public account below, and click【Like】 and 【View】 2. Click 【Get Course】 to obtain this material. Resources are from Baidu Cloud Disk:《Introduction and Practice of LangGraph Based on Large Model Agent》 Introduction and Practice of LangGraph Based on Large Model Agent In the field of artificial intelligence, with the … Read more
In this tutorial, we will delve into how to build an intelligent Q&A system with conditional branching using the langgraph framework. We will analyze the code step by step, understand the functionality of each part, and explain the principles behind it. The ultimate goal is to enable you to create an AI assistant that can … Read more
This article introduces a practical project that uses LangGraph to develop a RAG research multi-agent tool. This tool is designed to solve complex problems that require multiple sources and iterative steps to arrive at a final answer. It employs hybrid search and Cohere reordering steps to retrieve documents, and also includes a self-correction mechanism, including … Read more