1.Definition An AI Agent is a software or hardware entity capable of perceiving its environment through sensors and affecting it through actuators. It possesses autonomy, reactivity, proactiveness, and learning ability. 2. Core Features Autonomy: Able to operate and make decisions without human intervention. Reactivity: Capable of perceiving environmental changes and responding in real-time. Proactiveness: Not … Read more
With the rapid development of artificial intelligence technology, AI Agents based on Large Language Models (LLMs) have gradually become an important component of intelligent systems. These agents can not only simulate human intelligent behavior but also autonomously perceive, reason, and make decisions in complex environments. This article will detail the role and importance of LLMs … Read more
In recent years, the technology of Retrieval-Augmented Generation (RAG) has gained significant attention in the field of artificial intelligence. However, as demands have become more complex, traditional RAG has shown limitations in handling multi-step reasoning and external tool calls. To address this, Agentic RAG has emerged as an upgraded version of RAG, showcasing more powerful … Read more
So far, we have discussed the architecture of Agent systems, how to organize the system into sub-Agents, and how to build a unified mechanism to standardize communication. Today, we will turn our attention to the tool layer and one of the most important aspects you need to consider in Agent system design: data retrieval. Data … Read more
Today is January 18, 2025, Saturday, Beijing, clear weather. Let’s continue discussing RAG. Recently, there has been some work on Agentic RAG, which integrates autonomous agents to overcome the limitations of traditional RAG systems that perform well in knowledge retrieval and generation but struggle with dynamic, multi-step reasoning tasks, adaptability, and complex workflow orchestration. So, … Read more
Click the blue text above to follow us 1. What Exactly Is Agentic AI? 1. What Exactly Is Agentic AI? (1) Interpretation of Basic Concepts In today’s rapidly advancing technological wave, Agentic AI shines as a new star in the field of artificial intelligence. It is defined as an AI system with a high degree … Read more
Hello everyone! Welcome to a channel focused on AI agents~ Today, I’m sharing a 35-page latest overview of Agentic RAG! There are a lot of pictures, which I believe many of you will enjoy. 1. Why Do We Need Agentic RAG? Although traditional LLMs are powerful, they are limited by static training data and often … Read more
This article mainly introduces the seven most common RAG architectures and the latest Agentic RAG. Most Popular RAG Architectures Naive RAG: The most basic architecture, which includes a simple document retrieval, processing, and response generation process. Retrieve-and-rerank: Adds a reranking step on top of the basic RAG, which can optimize the relevance of retrieval results. … Read more
In 2023, Retrieval-Augmented Generation (RAG) technology dominated the landscape, and in 2024, agentic workflows are driving significant advancements. The use of AI agents opens up new possibilities for building more powerful, robust, and versatile applications powered by large language models (LLMs). One potential use case is to enhance AI agents within the agentic RAG process. … Read more
Despite Retrieval-Augmented Generation (RAG) dominating in 2023, agentic workflows bring significant advancements in 2024. The application of AI agents opens up new possibilities for developing more powerful, robust, and versatile applications driven by large language models (LLMs). One possibility is to leverage AI agents in agentic RAG pipelines to enhance RAG processes. This article will … Read more