Using LangGraph for Long Text Summarization

Using LangGraph for Long Text Summarization

In this article, we will explore how to build a powerful document summarization system using LangChain and LangGraph. This system can handle long texts by chunking, parallel processing, and recursively merging to finally generate a coherent summary. 0. Short Text Summarization When the tokens are sufficient to accommodate the document, no document segmentation is necessary, … Read more

Unlocking LangGraph and OpenAI for Financial Analysis Agents

Unlocking LangGraph and OpenAI for Financial Analysis Agents

Utilize LangChain, LangGraph, and Yahoo Finance to build a stock performance analysis agent. Long press to follow “AI Technology Forum” AI Empowered Stock Analysis In stock trading, investors rely on various tools and methods to make informed decisions. One method is fundamental analysis, which provides operational advice by evaluating a company’s financials against stock performance. … Read more

Mastering LangGraph – Multi-Agent 03

Mastering LangGraph - Multi-Agent 03

How to Pass Private Data Between Nodes In some cases, you may want nodes to exchange information that is crucial to the intermediate logic but does not need to be part of the main architecture of the graph. This private data is unrelated to the overall input/output of the graph and should only be shared … Read more

Mastering LangGraph: Multi-Agent System

Mastering LangGraph: Multi-Agent System

An agent is a system that uses LLM to determine the control flow of applications. As you develop these systems, they may become more complex over time, making them harder to manage and scale. For example, we may encounter the following issues: There are too many tools that agents can use, making it overly complex … Read more

Quick Start: Using LangChain and LangGraph for Multi-Agent Construction

Quick Start: Using LangChain and LangGraph for Multi-Agent Construction

• Hello everyone, I am student Xiao Zhang, sharing AI knowledge and practical cases daily. • Welcome to like + follow 👏, continuous learning, and continuous output of valuable content. • +v: jasper_8017 let’s communicate 💬 and progress together 💪. Article Overview in the Official Account So far, I have systematically studied two intelligent agent … Read more

Visualizing LangGraph Structure With One Line of Code

Visualizing LangGraph Structure With One Line of Code

• Hello everyone, I am Student Zhang, sharing AI knowledge and practical cases daily. • Please like and follow 👏 for continuous learning and consistent valuable output. • +v: jasper_8017 let’s communicate 💬 and improve together 💪. Overview of Articles on Official Account Visualization is a very, very, very useful and friendly tool. In this … Read more

Mastering LangGraph: Multi-Agent Implementation

Mastering LangGraph: Multi-Agent Implementation

In the last section, we mainly used Command to implement the transfer of multiple agents. In this section, we will learn how to use tools to achieve this functionality. Tool for Implementing Transfer We have clearly defined custom transfers in each agent node. Another pattern is to create a special handoff tool that directly returns … Read more

LangGraph Tutorial: Finding Similar Content

LangGraph Tutorial: Finding Similar Content

Introduction People often ask me to look up a product name, but they want it to be semantically similar, not a fuzzy search. For example, if you input ladle, you hope to match spoon, scoop. We can use LangGraph + vector database to implement a small tool for approximate semantic matching. Preparation Download a copy … Read more

VS Code + Copilot: Make AI Your Coding Partner

VS Code + Copilot: Make AI Your Coding Partner

VS Code + Copilot: Make AI Your Coding Partner Recently, I discovered something great: VS Code has integrated GitHub Copilot, which is simply a programmer’s magic tool! It not only auto-completes code but also generates entire blocks of code based on comments, making it an AI programming assistant. Today, let’s talk about this cool tool … Read more

302 Page Notes on Andrew Ng’s Deeplearning.ai Course: Key Concepts and Code

302 Page Notes on Andrew Ng's Deeplearning.ai Course: Key Concepts and Code

Organized by Machine Heart Author:Wan Zhen Contributors: Machine Heart Editorial Team Andrew Ng’s DeepLearning.ai has released its final course on January 31. Recently, Wan Zhen from Chongqing University created a set of notes on the deep learning specialization course, which explains key concepts and assignment codes in detail, starting from the basics of neural networks … Read more