Getting Started with Vector Search and Embeddings

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Getting Started with Vector Search and Embeddings

Coursera · Beginner ·🔍 RAG & Vector Search ·1mo ago
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use text embeddings and Vertex AI vector search to find similar documents based on their text content.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
The Future of RAG: Dead, Evolving… or Becoming the Brain of AI?
Learn about the future of RAG, from its current state to emerging trends like Agentic RAG and multimodal AI
Medium · Machine Learning
 ⚡
Smart Routing, Transfer Family Ingestion, and Voice Chat — Permission-Aware RAG v4.2
Learn about the latest features in Permission-Aware RAG v4.2, including Smart Routing, Transfer Family Ingestion, and Voice Chat, and how to apply them in your projects
Dev.to · Yoshiki Fujiwara(藤原 善基)@AWS Community Builder
 ⚡
Most Companies Doing GenAI Are Really Just Doing RAG: RAGOps Explained for analysts
Learn why RAGOps is becoming the preferred approach for GenAI projects and how it differs from agent-based approaches
Medium · RAG
 ⚡
RAG - Sliding Window, Token Based Chunking and PDF Chunking Packages
Learn about RAG chunking mechanisms, including Sliding Window, Token Based, and PDF Chunking, to improve your AI model's text processing capabilities
Dev.to AI
Up next
Watch this before applying for jobs as a developer.
Tech With Tim
Watch →