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Vector Search and Embeddings
Coursera
Course
Unknown

Vector Search and Embeddings

Google Cloud

Explore AI-powered search technologies including semantic and hybrid search using embeddings, and build intelligent search engines with Vertex AI.

Unknown1 weeksEnglish

About this Course

Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.

What You'll Learn

  • Explain vector search processes and key technologies
  • Build semantic search with vector embeddings using Vertex AI
  • Explore AI agents and Retrieval-Augmented Generation to reduce hallucinations
  • Create a hybrid search engine using Vertex AI

Instructors

G

Google Cloud Training

Topics

Natural Language Processing
Embeddings
Google Cloud Platform
Large Language Modeling
Retrieval-Augmented Generation
Generative AI
Vector Databases
Semantic Web
Algorithms

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

معالجة اللغة الطبيعية
التضمينات
منصة Google Cloud
النماذج اللغوية الكبيرة
التوليد المعزز بالاسترجاع
الذكاء الاصطناعي التوليدي
قواعد البيانات الاتجاهية
الويب الدلالي
Algorithms

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