Vector Search and Embeddings
Offered By: Pluralsight
Course Description
Overview
This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab.
Syllabus
- Vector Search and Embeddings 39mins
- Vector Search and Embeddings 35mins
Taught by
Google Cloud
Related Courses
TensorFlow for NLP: Text Embedding and ClassificationCoursera Project Network via Coursera Google Sites Essential Training
LinkedIn Learning 2024 Advanced Machine Learning and Deep Learning Projects
Udemy Intro to Multi-Modal ML with OpenAI's CLIP
James Briggs via YouTube OpenAI Python API Bootcamp: Learn to use AI, GPT, and more!
Udemy