本课程探讨 BigQuery 中用于减轻 AI 幻觉的检索增强生成 (RAG) 解决方案。BigQuery 引入了 RAG 工作流,其中涵盖了创建嵌入、搜索向量空间和生成更优质的回答。本课程解释了这些步骤背后的概念原理,以及这些步骤在 BigQuery 中的实际实施过程。学完本课程后,学员将能够使用 BigQuery 和生成式 AI 模型(如 Gemini)以及嵌入模型来构建 RAG 流水线,以解决在具体情况下遇到的 AI 幻觉问题。

使用 BigQuery 创建嵌入、向量搜索和 RAG
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Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
使用嵌入模型和 BigQuery 生成嵌入。
在 BigQuery 中执行向量搜索并了解其流程。
使用 BigQuery 创建 RAG(检索增强生成)流水线。
Skills you'll gain
Tools you'll learn
Details to know

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Assessments
1 assignment
Taught in Chinese (Simplified)
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