在本次课程中，探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法，以及检索增强生成 (RAG) 技术，以打造基于事实的 AI 智能体，尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验，打造您自己的智能搜索引擎。
Vector Search and Embeddings - 简体中文
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
阐释向量搜索进程及关键技术。
利用 Vertex AI Vector Search，打造使用向量嵌入的语义搜索引擎。
探索基于事实的智能体和检索增强生成 (RAG) 以减轻 AI 幻觉。
利用 Vertex AI Vector Search 打造混合搜索引擎。
Skills you'll gain
Details to know
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Assessments
1 assignment
Taught in Chinese (Simplified)
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There is 1 module in this course
本课程介绍 Vertex AI Vector Search，并说明如何使用它来通过嵌入大语言模型 (LLM) API 构建搜索应用。本课程包括以下内容：讲解矢量搜索和文本嵌入概念的讲座、关于如何在 Vertex AI 上构建矢量搜索的实际演示，以及一项实操实验。
What's included
5 videos1 reading1 assignment1 app item
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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