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
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
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
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
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
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
1. From Confusion to Curiosity: First Impressions of LangGraph In this era deeply permeated by large model technology, while we enjoy the many conveniences it brings, we are also faced with a series of thorny issues. Take my daily work with large models, for instance; they indeed perform excellently in handling simple tasks, such as … Read more
LangGraph provides a hands-on approach to how humans can interact with agents. `LangGraph` is a library for building stateful, multi-participant applications using `LLM`, designed for creating agent and multi-agent workflows. Compared to other `LLM` frameworks, it has the following core advantages: loops, controllability, and persistence. `LangGraph` allows you to define processes that involve loops, which … Read more
Definition of AI Agent When it comes to agents, many people think it is a product of LLMs, but that is not the case. The modern definition of AI agents has gradually formed alongside the development of AI since the 1950s. Its roots can be traced back to earlier philosophical thoughts and scientific explorations. In … Read more
01# Introduction The Qizhi platform is designed for building generative AI native applications. Through the Qizhi platform, we can significantly simplify complex technical tasks and build various types of applications through visual orchestration, making creativity and innovation faster, better, and easier to achieve. When we were kids, we played with building blocks, constructing castles, planes, … Read more