The field of new drug development has long been known for its lengthy timelines, high costs, significant risks, and low return on investment. The average development cost for a new drug has reached $2.6 billion, with an average time frame of ten years. Despite such high R&D costs and prolonged timelines, there is no guarantee … 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
Agentic CursorRules: A practical AI agent management tool that manages multiple AI assistants in Cursor through strict file tree partitioning and domain boundaries. It can divide the codebase into logical domains (such as frontend, API, database), generating specific scopes of work for each AI assistant, effectively preventing code conflicts and maintaining consistency in large projects. … Read more
Since April, I have been tracking the development of security startups, particularly in the areas related to agents and agent workflows. At that time, there were only a handful of security companies researching the concept of agents and making tangible progress. In just over six months, I have seen a significant increase in newly established … Read more
In this article, we will explore how Agentic RAG helps to address the limitations of traditional RAG. RAG Framework The RAG (Retrieval-Augmented Generation) framework operates in a specific sequence: Document -> Document Fragments -> Vector Database -> Fragment Retrieval (Top K) -> Large Language Model (LLM) However, this order encounters obstacles when handling certain types … 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
How to build an effective operating AI Agent system? And how to identify potential issues during development that could lead to significant trouble after deployment? To answer these questions, you need to break the Agent system down into three parts: tools, reasoning, and action. Each layer has its own challenges. An error in one layer … Read more
Agentic AI, a new type of artificial intelligence with autonomy, is revolutionizing various industries. It can not only execute preset tasks but also think and make decisions proactively like a human, significantly enhancing work efficiency and decision-making quality. Experts say that artificial intelligence agents【(Artificial Intelligence Agent), also known as agents, are software or hardware entities … 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