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
Analyzing Natality Data Using Vertex AI and BigQueryGoogle via Google Cloud Skills Boost Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab
Google via Google Cloud Skills Boost Building a Fraud Detection Model with Vertex AI AutoML
Google via Google Cloud Skills Boost Build Generative AI Agents with Vertex AI and Flutter
Google Cloud via Coursera Create Generative AI Apps on Google Cloud
Google Cloud via Coursera