Is there a difference between LLM large models and embedding large models in the knowledge base domain? Why is it necessary to set up a separate embedding large model in the RAG field? In the field of artificial intelligence, large language models (LLMs) and embedding models are two key technologies in natural language processing (NLP), … Read more
This project is the open knowledge base of the OpenRAG subproject under OpenKG, which focuses on RAG research and is committed to promoting the development of the RAG field. You can access it through the link to enter the OpenRAG Base homepage. Origin Retrieval-Augmented Generation (RAG), as one of the most concerned practical technologies for … Read more
I have an AI assistant named “Lao Liu”. Why? Because it sometimes speaks nonsense seriously. That’s right, this is a drawback of large models — “hallucination”. Therefore, LLMs + knowledge base is a solution to the “hallucination” problem. At the same time, for enterprises, information security must be considered; a privately owned knowledge base obviously … Read more
The entire process requires three software: Ollama. Used to run local large models. If using the API of a closed-source large model, there is no need to install Ollama. Docker. Used to run AnythingLLM. AnythingLLM. The platform for running the knowledge base, providing functions for building and running the knowledge base. 1 Install Ollama Download … Read more
Click the bottom “Read Original” to browse the detailed content of “CCF Digital Focus” Issue 48 Editor’s Note Large language models (LLMs) still face many challenges when dealing with domain-specific or knowledge-intensive tasks, such as generating hallucinations, outdated knowledge, and opaque, untraceable reasoning processes. Retrieval-Augmented Generation (RAG) technology has emerged to address these issues. RAG … Read more
ff ↑ Subscribe to us, get a wealth of free tutorial resources 1. What is RAG? – A Super Assistant That Can Retrieve and Generate Have you ever encountered this problem: when asking a large model, it can answer many questions, but sometimes it also “makes things up” or only provides information based on its … Read more
Article 576 1. Unique Advantages of Generative AI 1. 24/7 Companionship The greatest advantage of generative AI is its freedom from time and space limitations. Whether it’s a sudden question at 3 AM or a need in the quiet of night, AI can respond promptly, providing immediate learning support. This accessibility anytime and anywhere breaks … Read more
The structure of an expert system varies slightly depending on the application field and problem type, but generally, the typical structure of an expert system is shown in the figure below: Alright, let me describe the structure of an expert system. An expert system typically consists of the following components: Knowledge Base: The knowledge base … Read more
Quoted from: “Industrial Artificial Intelligence” (Authors: Cai Hongxia, Zhou Chuanhong) The book has been published, for details see the end of the article~ 「 1. Concept of Expert Systems 」 1) Definition of Expert Systems An expert system is a knowledge-based system used to apply the years of accumulated experience and expertise of domain experts … Read more
In the field of artificial intelligence, knowledge base systems are one of the core components for building intelligent agents. CrewAI’s memory system provides a comprehensive and flexible knowledge management solution by combining RAG (Retrieval-Augmented Generation) technology with traditional database storage. This article will take you step-by-step through configuring the knowledge base using Crew.ai, … Read more