Hello everyone, I am Chen Ge! If you are a developer or an AI enthusiast, you might want to quickly extract answers from a large volume of documents without flipping through every page. Today, I will guide you on how to build a localized Retrieval-Augmented Generation (RAG) system to get precise answers directly from documents. … Read more
Source: Knowledge Graph Technology This article has 2500 words and is recommended to read in 5 minutes. This article will help you understand how knowledge graphs can improve Retrieval-Augmented Generation (RAG) for information retrieval within companies. In this part of our AI series for knowledge management, you will learn how knowledge graphs enhance Retrieval-Augmented Generation … Read more
Source: DeepHub IMBA This article is approximately 2600 words and suggests a 5-minute reading time. This article will attempt to provide recommendations for choosing the correct generative AI methods based on some common quantifiable metrics. Generative AI is rapidly evolving, and many people are trying to use this technology to solve their business problems. Generally, … Read more
Source: DeepHub IMBA This article is approximately 1800 words and is suggested to be read in 6 minutes. This article will introduce how to integrate and create a scalable and customizable agent RAG. Building large language model applications can be quite challenging, especially when we have to choose between different frameworks like LangChain and LlamaIndex. … Read more
Photographer: Product Manager Fried Crab Shell When it comes to RAG or Agent, many people immediately think of LangChain or LlamaIndex, as they seem to believe these two are standard tools for developing applications with large models. But for me, I particularly dislike these two. Because they are the typical representatives of over-encapsulation. Especially with … Read more
Lu Xingguo Ye Xiangjun (2)T−B− SCID 1. Recombinase-activating Genes1 and 2 Deficiency Recombinase-activating genes1 and 2 (recombinase-activating genes 1 and 2，RAG1/2) deficiency accounts for approximately6% of SCID patients. In about75% of patients with RAG1/2 deficiency, there are very low numbers of T, B lymphocytes, and NK cells. This type of SCID is caused by mutations … Read more
Author: Liu Ran Affiliation: China People’s Police University, Information Technology and Network Management Department Editorial Note In the wave of digital transformation, the information construction of universities is in full swing, with AI applications represented by large language models becoming an important topic for the construction of smart campuses. The One-Stop Service Platform, as an … Read more
Source: DeepHub IMBA This article is about 3200 words long, and it is recommended to read for 6 minutes. This article explores the new integration of LlamaIndex for fine-tuning OpenAI's GPT-3.5 Turbo. OpenAI announced on August 22, 2023, that fine-tuning of GPT-3.5 Turbo is now possible. This means we can customize our own models. Subsequently, … Read more
This is the 9th article by Teacher Wang Jue introducing AIGC. Please refer to the previous articles: #ai Teacher Wang Jue’s AIGC Educational Application Collection —————————————— Although large models are amazing, they can help us with general document work But Teacher Wang Jue has always believed: For professional research and education, large models are not … Read more
Source: DeepHub IMBA This article is approximately 3300 words long and is recommended for a 5-minute read. In this article, I will use two frameworks to complete some basic tasks in parallel. When using large models locally, especially when building RAG applications, there are generally two mature frameworks available: LangChain: A general framework for developing … Read more