Coursera
MOOC / Non-credit
0
使用 BigQuery 创建嵌入、向量搜索和 RAG
About this course
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。
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What you'll learn
- understand retrieval-augmented generation (RAG) principles
- create embeddings
- conduct vector space searches
- implement RAG workflows in BigQuery
Course objectives
- explore AI hallucinations and their mitigation
- apply RAG solutions in practical contexts
- integrate generative AI models with BigQuery
Artificial Intelligence
#artificial intelligence
#machine learning
#generative ai
#data analysis
#rag
#embeddings
#vector search
#bigquery
#ai
#data workflows
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