In today’s rapidly advancing field of artificial intelligence, Retrieval-Augmented Generation (RAG) technology has become a hot topic for research and application due to its unique advantages. RAG technology combines the powerful generation capabilities of Large Language Models (LLMs) with efficient information retrieval systems, providing users with a new interactive experience. However, as the technology is … Read more
LLM (Large Language Model, a powerful new platform) 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, a method that connects LLMs with external data sources (such as private data or the latest data). It allows LLMs to use … Read more
Reply ‘data’ to receive a collection of algorithm interview questions (large models, deep learning, machine learning). 1. What is Retrieval-Augmented Generation (RAG)? RAG is a hybrid approach that combines retrieval systems and generative language models. It consists of two steps: Retrieval Component: Searches for relevant information in large external corpora or datasets based on the … Read more
Click the “blue text” to follow us In today’s rapidly changing artificial intelligence (AI) technology landscape, major tech companies are launching innovative products aimed at providing smarter and more efficient solutions for enterprises and individual developers. Recently, Google Cloud announced the full launch of its Vertex AI RAG Engine (Retrieval-Augmented Generation Engine), which has garnered … Read more
Hello, I am the Fisherman. Today, I am sharing a 35-page overview of the latest Agentic RAG. The core problem this paper aims to address is the outdated, inaccurate outputs, and hallucinations that arise when today’s large language models (LLMs) rely on static training data to handle dynamic, real-time queries. It starts from the fundamental … Read more
Today is January 22, 2025, Wednesday, Beijing, sunny. Today is the Little New Year in the North, and the Spring Festival is approaching. This article continues to explore the progress of GraphRAG, specifically looking at the RAG scheme that directly uses KG, which is KG-RAG, provided that the KG is established. Some ideas are worth … Read more
Today in the garden of the palace, the beloved consort was frowning at the code in her hands, and I couldn’t help but ask. “My dear consort, what troubles you?” “Your Majesty, I have received a task to develop a shopping cart, and I must complete it within a day. But looking at so many … Read more
I used Cursor to code, and my boss thought I was “cheating”! “Xiao Xiao, your coding speed is unbelievable! You finished a feature that we estimated would take two days in just an hour?” My boss stood behind me, staring at my screen with suspicion. “Hehe, boss, I have a genius helping me!” I turned … Read more
1. Cursor Configuration Rules for AI I have compiled a set of personal development prompts for Cursor, which have shown excellent results overall. It incorporates the “O1 Thinking Chain” prompts from a notable contributor on GitHub, but I have shortened the original content due to its length, which would consume extra tokens. Nonetheless, it still … Read more
Cursor Code Optimization: Secrets to Boost Project Performance by 200% Introduction: Performance Dilemmas and Solutions As a seasoned front-end developer, Xiao Wang recently faced severe performance issues while working on a data visualization project. Slow page loads, choppy chart rendering, and delayed user interactions troubled him greatly. Traditional manual code optimization was not only time-consuming … Read more