Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Vector Search and Embeddings

Coursera · Intermediate ·🔍 RAG & Vector Search ·1mo ago

Skills: RAG Basics90%Vector Stores80%

Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.

Watch on Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

High Performance (Realtime) RAG Chains: From Basic to Advanced

High Performance (Realtime) RAG Chains: From Basic to Advanced

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG with LangChain on Google Cloud

RAG with LangChain on Google Cloud

Google Cloud Tech

Build an End-to-End RAG API with AWS Bedrock & Azure OpenAI

Build an End-to-End RAG API with AWS Bedrock & Azure OpenAI

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

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

Watch this before applying for jobs as a developer.