In this tutorial, we will learn how to build an intelligent document retrieval system using langgraph. This system can extract information from web pages, perform intelligent segmentation, and achieve precise Q&A functionality through query analysis and vector retrieval. 1. Install Dependencies <span>pip install beautifulsoup4</span> 2. Import Necessary Libraries import bs4 from typing import Literal from … Read more
In this blog, we will delve into how to build an intelligent SQL query assistant using LangChain and LangGraph. This assistant can convert natural language questions into SQL queries, execute the queries, and provide human-friendly answers. More importantly, it supports human-machine collaborative workflows, allowing users to intervene at critical steps. 0. Initialize SQL Data We … Read more
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
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
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
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
• 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
• 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
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
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