📄 中文摘要
观看长时间的讲座视频时，后期查找特定概念常常变得困难。用户通常需要重看整个讲座或手动搜索时间戳。为了解决这一问题，开发了一种基于检索增强生成（RAG）的AI教学助手，旨在使讲座视频可搜索。该系统的工作流程包括将讲座视频转换为音频，然后将音频转录为文本，以便系统理解讲座内容。接着，转录文本被分割成较小的块，并转换为嵌入向量，以便进行高效检索。最终，用户可以通过提问快速获取讲座内容的相关信息。
为视频讲座构建 RAG AI 教学助手
出处: Built a RAG AI Teaching Assistant for Video Lectures
发布: 2026年3月7日
📄 English Summary
Built a RAG AI Teaching Assistant for Video Lectures
Finding specific concepts in long lecture videos can be challenging, often requiring viewers to rewatch the entire lecture or manually search through timestamps. To address this issue, a Retrieval-Augmented Generation (RAG) based AI Teaching Assistant has been developed to make lecture videos searchable. The process begins with converting lecture videos into audio, followed by transcribing the audio into text for better comprehension of the lecture content. The transcribed text is then chunked into smaller segments and converted into embeddings for efficient retrieval. This allows users to quickly obtain relevant information by simply asking questions about the lecture.