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
How to Add and Use Subgraphs Subgraphs allow the construction of complex systems with multiple components, each of which is a graph. A common use case for using subgraphs is building multi-agent systems. The main issue when adding subgraphs is how the parent graph and the subgraph communicate, i.e., how they pass state to each … Read more
Click 01 Muggle Society Follow the official account, and you won’t get lost in AI learning LangGraph is an important feature recently released by LangChain, marking its move towards a multi-agent framework. LangGraph is built on top of LangChain, helping developers easily create powerful agent runtimes. LangChain and its expression language (LCEL) provide technical support … Read more
● Understand what LangGraph is. ● Explore the basics of LangGraph for building stateful agents. ● Explore TogetherAI to access open-access models like DeepSeekCoder. ● Build an AI coding agent using LangGraph to write unit tests. This article is published as part of the Data Science Blog Marathon. What is LangGraph? LangGraph is an extension … Read more
▼Recently, there have been many live broadcasts,make an appointment to ensure you gain something —1— The Two Core Concepts of LangChain 1、Process-Oriented Architecture Design of Chains：Programs written based on large models that follow predefined steps and rules, which cannot be flexibly adjusted, used for executing tasks like: automatic SQL writing or multi-turn dialogue, etc. 2、Goal-Oriented … Read more
“This is the best of times, and the worst of times. But, ultimately, it is a good era.” The intelligent platform introduced today differs from low-code platforms like Coze and Dify, as it is entirely built using Python code. Moreover, during application, there is no need to arrange the collaboration mode among the … Read more
Event-Driven AI Workflows Workflows allow us to coordinate tasks and manage teams. Previous Chapter: • We can link multiple teams and tasks together to build AI workflows. • Workflows share state between different tasks. • It is event-driven, and tasks can trigger subsequent tasks based on specific events. • We can implement conditional logic, loops, … Read more
Click the blue text above to follow us 1. Introduction AI Agents development is a hot topic in the current software innovation field. With the continuous advancement of Large Language Models (LLMs), the integration of AI agents with existing software systems is expected to see explosive growth. With AI agents, we can accomplish tasks that … Read more
CrewAI The logo of CrewAI, two people rowing[1] 🤖 A cutting-edge framework for autonomous AI agents orchestrating role-playing. By facilitating collaborative intelligence, CrewAI enables agents to work seamlessly together and tackle complex tasks. •Why Choose CrewAI[2]•Getting Started[3]•Key Features[4]•Examples[5]•Local Open Source Models[6]•CrewAI x AutoGen x ChatDev[7]•Contributions[8]•💬 CrewAI Discord Community[9]•Hiring Consulting[10]•License[11] [12]Why Choose CrewAI? There are many … Read more
Introduction: Can AI Agents Team Up to Fight Monsters? Imagine multiple AI agents working together like a superhero team to solve complex problems. This is no longer science fiction, but a reality with CrewAI. What is CrewAI? CrewAI is a cutting-edge framework for coordinating role-playing, autonomous AI agents. It allows multiple AI agents to collaborate … Read more