Agent Workflow

Exploring Advanced Workflows with LangGraph in Agentic RAG

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Exploring Advanced Workflows with LangGraph in Agentic RAG

Introduction In the previous article, we introduced the concept of Agentic RAG, emphasizing how it extends traditional retrieval-augmented generation (RAG) frameworks by integrating autonomous agent capabilities. In this issue, we delve deeper into LangGraph, an innovative framework for coordinating logical workflows. LangGraph enables the creation of multi-agent systems with complex reasoning capabilities, making it an … Read more

Design Ideas for Intelligent Article Generation Agent Based on LangGraph

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Design Ideas for Intelligent Article Generation Agent Based on LangGraph

1. Technical Background and Design Goals Current content generation systems face three common technical challenges: low efficiency in processing multi-source heterogeneous data, insufficient structural coherence in long text generation, and weak collaborative generation capabilities for multimodal content. This research proposes a solution based on the LangGraph framework, aiming to build a modular and scalable intelligent … Read more

Building a Dynamic Order Management System with LangGraph

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Building a Dynamic Order Management System with LangGraph

In this extremely detailed Tutorial, we will explore LangGraph — a powerful library for coordinating complex multi-step workflows, suitable for large language models (LLMs) — and apply it to a common e-commerce problem: deciding whether to place or cancel an order based on user queries. By the end of this blog, you will understand how … Read more

How CrewAI Enables AI Agents as Collaborative Team Members

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How CrewAI Enables AI Agents as Collaborative Team Members

CrewAI’s architecture goes far beyond static workflows; it supports intelligent, context-aware, and collaborative AI agents. Translated fromHow CrewAI Enables AI Agents as Collaborative Team Members, author Janakiram MSV. In the first part of this series, we introduced CrewAI and mapped its features against key attributes of AI agents. Now, we will take a closer look … Read more

Building Your Own AI Legal Assistant

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Building Your Own AI Legal Assistant

In 2023, AI large models have sparked an unprecedented wave of technology, injecting new momentum into many industries. However, the AI large models currently on the market are mainly basic models, which, although possessing general knowledge capabilities, lack professional understanding of the legal industry. Many law firms and lawyers feel both eager and anxious, wanting … Read more

Comprehensive Analysis of 4 Innovative AI Agent Workflow Design Patterns

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Comprehensive Analysis of 4 Innovative AI Agent Workflow Design Patterns

Introduction: AI Agents refer to artificial intelligence systems that can autonomously execute tasks in specific environments. They not only receive tasks but also independently formulate and implement work plans while continuously self-evaluating and adjusting throughout the process, similar to human thinking and correction in creative tasks. The four key design patterns of AI Agents are … Read more

Anthropic Architecture Design and Practice Guide: Secrets to Building Efficient AI Agents

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Anthropic Architecture Design and Practice Guide: Secrets to Building Efficient AI Agents

Are you confused while building an AI Agent? Anthropic’s architecture design and practice guide is here! This article delves into how to construct an efficient AI Agent, with the core point being: the key to success is not building the most complex system, but rather creating a system that fits your needs. By utilizing simple, … Read more

Installing Ollama Local Large Model for AI Workflows

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Installing Ollama Local Large Model for AI Workflows

To pave the way for future workflows and local models, it is necessary to discuss the installation of the Ollama local large language model backend. 1. Ollama Before installation, it is necessary to clarify what Ollama is.. Ollama is a backend service for large language models that helps users easily deploy large language models without … Read more

In-Depth Analysis of LlamaIndex Workflow: Event-Driven LLM Architecture

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In-Depth Analysis of LlamaIndex Workflow: Event-Driven LLM Architecture

Recently, LlamaIndex launched a new feature called Workflow in its latest version. This feature helps large language model (LLM) applications achieve event-driven architecture, making the code logic clearer and more independent. This article will take you through a simple practical project to deeply understand this new feature, highlighting its advantages and shortcomings. Without further ado, … Read more

LlamaIndex Surpasses RAG for Complex Decision Making

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LlamaIndex Surpasses RAG for Complex Decision Making

The popular AI orchestration frameworkLlamaIndex has introduced the Agent Document Workflow (ADW), a new architecture that the company claims surpasses the Retrieval-Augmented Generation (RAG) process and enhances the efficiency of agents. As orchestration frameworks continue to improve, this approach provides organizations with options to enhance agent decision-making capabilities. LlamaIndex states that ADW can assist agents … Read more