이 과정에서는 AI 기반 검색 기술, 도구, 애플리케이션을 살펴봅니다. 벡터 임베딩을 활용하는 시맨틱 검색, 시맨틱 방식과 키워드 방식을 결합한 하이브리드 검색, 그라운딩된 AI 에이전트로서 AI 할루시네이션을 최소화하는 검색 증강 생성(RAG)에 대해 알아보세요. Vertex AI 벡터 검색을 활용해 지능형 검색 엔진을 빌드하는 실무 경험을 쌓을 수 있습니다.
Vector Search and Embeddings - 한국어
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
벡터 검색 프로세스와 주요 기술에 대해 설명합니다.
Vertex AI 벡터 검색과 벡터 임베딩을 사용해 시맨틱 검색을 구축합니다.
AI 할루시네이션을 완화하기 위한 그라운딩된 에이전트 및 검색 증강 생성(RAG)을 살펴봅니다.
Vertex AI 벡터 검색을 사용해 하이브리드 검색엔진을 만듭니다.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in Korean
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
이 과정에서는 AI 기반 검색 기술, 도구, 애플리케이션을 살펴봅니다. 벡터 임베딩을 활용하는 시맨틱 검색, 시맨틱 방식과 키워드 방식을 결합한 하이브리드 검색, 그라운딩된 AI 에이전트로서 AI 할루시네이션을 최소화하는 검색 증강 생성(RAG)에 대해 알아보세요. Vertex AI 벡터 검색을 활용해 지능형 검색 엔진을 빌드하는 실무 경험을 쌓을 수 있습니다.
What's included
9 videos1 reading1 assignment2 app items
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Google Cloud
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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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Financial aid available,