Hello everyone, I am Student Zhang. Continuous learning and continuous output of valuable content, follow me, and let’s learn AI large model technology together! Overview of Articles in the Official Account If you have any questions, feel free to add me on WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! This … Read more
Background Introduction Amazon Web Services recently partnered with Extraordinary Capital to hold the “AI Globalization Special Acceleration Program” offline event in Shanghai, where many leading AI startups from both domestic and abroad gathered to communicate with over a hundred AI entrepreneurs. This content is compiled from the roundtable discussion at the event. Event series content … Read more
Hello everyone, I am 【Student Xiao Zhang】. Continuous learning and continuous output of practical knowledge, follow me, and let’s learn AI large model technology together! Overview of Articles in Official Account If you have any questions, feel free to add me on WeChat: jasper_8017. Looking forward to discussing and progressing together with like-minded friends! Previously, … Read more
Click the “Blue Word” to Follow Us In today’s rapidly evolving AI field, building Agents (Which Multi-Agent Framework is Better? A Deep Dive into Five Popular Options) has become an important means of achieving automation and decision optimization. LangGraph, as a powerful tool, provides developers with an intuitive and efficient way to build AI Agents … Read more
An AI travel assistant built on LangGraph: ai-travel-agent, which can search for flights, book hotels, and organize itineraries to email you. It has a memory capability, able to remember user interaction history and continue from where the last conversation left off. It adopts a human-machine collaboration model, allowing users to control key operations, such as … Read more
Overview When building AI applications, we often need to handle complex workflows, including serial and parallel execution of multiple steps, state management, event notifications, etc. LangGraph provides a powerful event stream mechanism and a flexible node return value system to support these needs. This article will delve into the event streams and node return value … Read more
LangGraph is a library developed by LangChainAI for creating workflows for agents and multi-agent systems. It offers the following core advantages: cycles, controllability, and persistence, which undoubtedly reduce the workload for agent developers. This article will highlight the key points and usage methods of LangGraph from my perspective during the development process. Basic Introduction The … Read more
Introduction In today’s AI era, building an intelligent dialogue system is no longer just a simple Q&A model. Modern dialogue systems need to possess complex functionalities such as comprehensive context understanding, knowledge retrieval, and personalized recommendations. This article will use an educational scenario as an example to detail how to build a fully functional intelligent … Read more
This article introduces how to build a memory chatbot using LangChain and LangGraph. LangGraph is a Python library developed by the LangChain team specifically for creating complex AI workflows and multi-agent systems that can remember state. Its core goal is to address key pain points in traditional AI orchestration: • Inability to handle complex decision … Read more
Introduction The emergence of large language models (LLMs) has reshaped how AI systems interact with and interpret the world. Traditionally, single-agent architectures have been used to handle inputs, make decisions, and produce outputs. However, as AI systems scale to manage more complex, multi-step tasks, researchers and developers are increasingly turning to multi-agent systems and advanced … Read more