External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Vector Search and Embeddings

Coursera · Intermediate ·🔍 RAG & Vector Search ·3mo ago

Skills: RAG Basics90%Vector Stores80%

Key Takeaways

Teaches HTML, CSS, and Javascript for web developers to implement web applications with fast loading and user-friendly interfaces

Original Description

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 External: 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

Building Agentic RAG From Scratch in Pure Python

Building Agentic RAG From Scratch in Pure Python

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

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

Akamai Developers

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

Related Reads

AnswerSurvivalRAG: What Happens When RAG Finds the Answer, Then Drops It?

Learn how RAG systems can fail even when they find the correct answer, and why it matters for reliable AI performance

Medium · Machine Learning

A RAG evaluator that admits what it can't judge

Learn how to build a reliable RAG evaluator that acknowledges its limitations, a crucial aspect of AI safety and robustness

Dev.to · Melissa D. Ellison

RAG on Google Cloud in Regulated Environments: A Lifecycle Playbook from Inception to…

Learn to implement RAG on Google Cloud in regulated environments with a lifecycle playbook

Medium · Machine Learning

Solving One of the Hardest Problems in Code RAG: Context Retrieval

Learn to solve context retrieval in code RAG systems, a crucial challenge in automation code generation, and improve your skills in RAG and code analysis.

RRF vs DBSF with Qdrant: Hybrid Retrieval Fusion for RAG in Python

Professor Py: AI Engineering