Using ToolNode for tool calls ToolNode is a LangChain Runnable that takes a graphical state (with a list of messages) as input and outputs a state update using the results of tool calls. It is designed to work out of the box with LangGraph’s pre-built ReAct agent, but it can also work with any StateGraph … 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
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
1. Overview of AI Agent Frameworks In the rapidly evolving field of artificial intelligence, choosing the right framework is a key decision that every data scientist and developer must make. The AI agent ecosystem is evolving quickly, offering increasingly complex solutions to automate and optimize intricate processes. The intelligent agent revolution has introduced several frameworks, … Read more
This article provides a clear visualization to help you understand which framework or tool to choose for your business use case when developing “Agent applications”. Introduction In the rapidly evolving field of artificial intelligence, a new paradigm is emerging that promises to revolutionize the way we interact with and utilize AI systems: AI Agents. These … Read more
In the rapidly evolving field of AI, the ability to provide accurate, context-aware responses to user queries is a game changer. Retrieval-Augmented Generation (RAG) is a powerful paradigm that combines the retrieval of relevant information from external sources with the generative capabilities of large language models (LLMs). However, as queries become increasingly complex and diverse, … Read more
Are you still troubled by the mixed quality of AI in China and its poor performance? Then let’s take a look at Developer Cat AI (3in1)! This is an integrated AI assistant that combines GPT-4, Claude3, and Gemini. It covers all models of the three AI tools. Including GPT-4o and Gemini flash Now you can … Read more
LLM (Large Language Model) is a powerful new platform, but they are not always trained on data relevant to our tasks or the latest data. RAG (Retrieval Augmented Generation) is a general method that connects LLMs with external data sources (such as private or up-to-date data). It allows LLMs to use external data to generate … Read more
Building a data analysis agent using LangChain, CrewAI, and AutoGen. Long press to follow ‘AI Technology Forum’ The data analysis agent can automatically conduct analysis tasks, execute code, and provide adaptive responses to data queries. LangChain, CrewAI, and AutoGen are the three popular frameworks for building such AI agents. This article utilizes and compares these … Read more