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Búsqueda de vectores y embeddings

Búsqueda de vectores y embeddings

Instructor: Google Cloud Training

Included with

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1 module

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

1 module

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

Explicar los procesos de búsqueda de vectores y las tecnologías clave
Elaborar búsquedas semánticas utilizando embeddings de vectores con Vertex Search de Vertex AI
Explorar los agentes fundamentados y la generación mejorada por recuperación (RAG) para mitigar las alucinaciones de la IA
Crear un motor de búsqueda híbrido con Vector Search de Vertex AI

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in Spanish

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There is 1 module in this course

En este curso, se presenta la búsqueda de vectores de Vertex AI y se describe cómo puede usarse para compilar una aplicación de búsqueda con APIs de modelo de lenguaje grande (LLM) para embeddings. Este curso se compone de lecciones conceptuales sobre la búsqueda de vectores y las embeddings de texto, demostraciones prácticas para compilar una búsqueda de vectores en Vertex AI y un lab práctico.

En este curso, explorarás tecnologías, herramientas y aplicaciones de búsqueda potenciadas por IA. Aprende sobre las búsquedas semánticas utilizando embeddings de vectores, acerca de las búsquedas híbridas combinando enfoques semánticos y de palabras clave, y sobre la generación mejorada por recuperación (RAG) minimizando las alucinaciones como un agente de IA fundamentado. Adquiere experiencia práctica con Vector Search de Vertex AI para desarrollar tu motor de búsqueda inteligente.

What's included

9 videos1 reading1 assignment2 app items

9 videos Total 55 minutes

Introducción 3 minutes
Conceptos básicos de la búsqueda de vectores 7 minutes
Codifica con embeddings 9 minutes
Indexación y búsqueda 8 minutes
Vector Search de Vertex AI 8 minutes
Coursera: Empezar a usar Google Cloud y Qwiklabs 5 minutes
RAG y agente fundamentado 6 minutes
Búsqueda híbrida 8 minutes
Resumen 3 minutes

1 reading Total 10 minutes

Lista de lectura 10 minutes

1 assignment Total 14 minutes

Cuestionario 14 minutes

2 app items Total 180 minutes

Lab: Comienza a usar la búsqueda de vectores y embeddings 90 minutes
Lab: Crea una búsqueda híbrida con Vector Search de Vertex AI 90 minutes

Instructor

Google Cloud Training

Google Cloud

2,108 Courses 3,993,542 learners

Offered by

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.