Knowledge Base

Live Broadcast: Large Model + Knowledge Base (RAG) for Industry Digitalization

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Live Broadcast: Large Model + Knowledge Base (RAG) for Industry Digitalization

In the blink of an eye, 2024 is nearing its end. This year, the “Huawei Expert Live Room” has successfully held 7 live broadcasts, sharing Huawei’s experience in industry digital transformation, covering construction, steel, non-ferrous metals, smelting, transportation, oil and gas, and continuously shaping the brand image of “digital transformation partners”. Recently, some friends commented … Read more

RAG Knowledge Base: Making Learning More Efficient

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RAG Knowledge Base: Making Learning More Efficient

Have you ever been troubled by these questions? Searching through a cluttered computer hard drive for an assignment you saved, clearly remembering the general content, but unable to find it by name because the file name has little to do with the content; or when writing a paper, you remember a piece of literature supporting … Read more

Guidelines for Implementing Generative AI Across Industries

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Guidelines for Implementing Generative AI Across Industries

The path to implementing AI is guided by cloud vendors. Nowadays, generative AI is experiencing explosive growth, with increasingly rich and diverse applications in artificial intelligence, such as text generation, image generation, knowledge Q&A, product design, and more innovations emerging continuously. However, the question arises: how can we better promote the implementation of generative AI … Read more

Segment Optimization for Ollama+MaxKB Knowledge Base

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Segment Optimization for Ollama+MaxKB Knowledge Base

Last time, I published an article titled “Building Your Own Simple Knowledge Base with Ollama,” and I found that many users encountered various issues during usage. I also faced similar problems. Particularly, after importing an article into the MaxKB knowledge base and asking questions within the application, the answers were completely off-topic and did not … Read more

Building Your Personal Knowledge Base with LLaMA

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Building Your Personal Knowledge Base with LLaMA

I. Introduction A personal knowledge base is a repository of personal learning, experiences, and observations that can assist individuals in decision-making, problem-solving, and creativity. Imagine it as a personal library that stores all important books (or articles, notes, or ideas). A personal knowledge base can include: key concepts, summaries of research papers or articles, notes … Read more

Local Installation of Ollama Embedding Model

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Local Installation of Ollama Embedding Model

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

OpenRAG Base: An Open Knowledge Base for RAG

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OpenRAG Base: An Open Knowledge Base for RAG

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

Building A Secure Personal/Enterprise Knowledge Base with Ollama and WebUI

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Building A Secure Personal/Enterprise Knowledge Base with Ollama and WebUI

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

Setting Up a Local Knowledge Base with AnythingLLM and Ollama

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Setting Up a Local Knowledge Base with AnythingLLM and Ollama

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

Enhancement Techniques for Large Model Retrieval (RAG)

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Enhancement Techniques for Large Model Retrieval (RAG)

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