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
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
In today’s rapidly evolving technological landscape, artificial intelligence (AI) agents have become key tools for optimizing workflows, improving efficiency, and reducing labor costs. Recently, Google released a white paper on AI Agents, and industry insiders have even directly defined 2025 as the era of Agents. Recently, I tried Crew.ai, an advanced AI agent platform that … Read more
2025: The Year of AI Agents – Building Multi-Agent Systems with CrewAi and Gemini 1.5 As many experts predict, 2025 is gradually becoming the year of agent-based artificial intelligence. This emerging field is poised to redefine the way we interact with technology by introducing highly autonomous systems that can make decisions and execute complex tasks … Read more
Types of Memory in CrewAI In CrewAI, the memory system enhances the capabilities of AI agents by enabling them to remember, reason, and learn from past interactions. Previous Chapter: The system consists of several key components: • Short-Term Memory: This component temporarily stores recent interactions and outcomes, allowing the agent to recall relevant information during … Read more
In the field of artificial intelligence, knowledge base systems are one of the core components for building intelligent agents. CrewAI’s memory system provides a comprehensive and flexible knowledge management solution by combining RAG (Retrieval-Augmented Generation) technology with traditional database storage. This article will take you step-by-step through configuring the knowledge base using Crew.ai, … Read more