運用 BigQuery 建立嵌入項目、向量搜尋和 RAG
By Coursera
on Coursera
· Technology
About This Course
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.
Instructor
Google Cloud
Frequently Asked Questions
How much does 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG cost?
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG costs $49. Check the course page for current pricing and available discounts.
Who teaches 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG?
運用 BigQuery 建立嵌入項目、向量搜尋和 RAG is taught by Google Cloud, Google Cloud.
What skill level is 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG for?
This course is designed for all levels learners.