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Vector Search and Embeddings
Coursera
Course
Unknown

Vector Search and Embeddings

Google Cloud

Explore AI-powered search tools and technologies focusing on semantic search using vector embeddings, hybrid search, and retrieval-augmented generation to reduce AI hallucinations.

Unknown1 weeksPortuguese, PT-BR

About this Course

Conheça aplicativos, ferramentas e tecnologias de pesquisa com tecnologia de IA neste curso. Aprenda a fazer pesquisa semântica usando embeddings de vetores, pesquisa híbrida combinando abordagens semânticas e por palavras-chave, e geração aumentada por recuperação (RAG), minimizando as alucinações artificiais da IA como um agente de IA embasado. Ganhe experiência prática com a pesquisa vetorial da Vertex AI para criar um mecanismo de pesquisa inteligente

What You'll Learn

  • Explain key technologies and processes in vector search
  • Build semantic search using vector embeddings with Vertex AI
  • Use retrieval-augmented generation (RAG) and grounded AI agents to reduce AI hallucinations
  • Create a hybrid search engine with Vertex AI

Prerequisites

  • Basic familiarity with the topic and common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

G

Google Cloud Training

Topics

Cloud Computing
Information Technology
Google Cloud Platform
Embeddings
Artificial Intelligence
Responsible AI
Prompt Engineering
Vector Databases
Generative AI
Semantic Web

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الحوسبة السحابية
تكنولوجيا المعلومات
منصة جوجل السحابية
تضمينات المتجهات
الذكاء الاصطناعي
الذكاء الاصطناعي المسؤول
تصميم المحفزات
قواعد بيانات المتجهات
Generative AI
Semantic Web

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