Chevron Left
Back to Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

Learner Reviews & Feedback for Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases by Scrimba

4.8
stars
44 ratings

About the Course

In this course, you will explore advanced AI engineering concepts, focusing on the creation, use, and management of embeddings in vector databases, as well as their role in Retrieval-Augmented Generation (RAG). You will start by learning what embeddings are and how they help AI interpret and retrieve information. Through hands-on exercises, you will set up environment variables, create embeddings, and integrate them into vector databases using tools like Supabase. As you progress, you will take on challenges that involve pairing text with embeddings, managing semantic searches, and using similarity searches to query data. You will also apply RAG techniques to enhance AI models, dynamically retrieving relevant information to improve chatbot responses. By implementing these strategies, you will develop more accurate, context-aware conversational AI systems. This course balances both the theory behind AI embeddings and RAG with practical, real-world applications. By the end, you will have built a proof of concept for an AI chatbot using RAG, preparing you for more advanced AI engineering tasks....

Top reviews

MM

Oct 11, 2024

Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.

GS

Dec 25, 2024

This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars

Filter by:

1 - 11 of 11 Reviews for Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

By Syed A H

•

Nov 18, 2024

This is an exceptional course taught by Guil, Covers most of the basics and lays a solid foundation on vector databases and embeddings concept with easy to understand examples combining concepts learnt from the previous courses in this specialization was fun. I would recommend it to everyone learning to build LLM applications in javascript.

By Vincent K

•

Mar 22, 2024

las apps deben ser casos de uso utiles, mas que recomendar peliculas. Y si no tengo permitido salir a internet, como funciona localmente todo lo aprendido?

By mustafakok

•

Oct 12, 2024

Simple and easy to follow course with enough information about embeddings and vector databases with sample uses cases.

By Guy S

•

Dec 26, 2024

This instructor from Srimba is outstanding! Deeply knowledgeable and terrific teacher and communicator: 5+ Stars

By Garima T

•

Jun 6, 2025

Course is well structured and provides required knowledge in just 3 hours.

By Alexandros P

•

May 14, 2025

Very nice lesson, very nice teacher!

By Iyanu D

•

Sep 3, 2025

Great resource, very educative

By Marc T

•

Jul 2, 2025

Great pace

By Mohammad A K

•

Feb 12, 2024

luv u guys

By HASSAN A M G

•

Oct 8, 2025

رائعه

By fazil m

•

Jan 2, 2026

explain the course content poorly, could not explain how to setup environment variable. This course is about as bad as Agentic AI protocols ( MCP, A2A, ACP) by Coursera instructor, i am learning to only take courses offered by reputable universities, like Michigan, Geis, Vanderbilt to name a few, or reputable organizations like Google, Microsoft etc. Deep learning(Andrew Ng) wants to charge for everything , why is he part of coursera if none of his courses are included as part of coursera plus? independent instructors or offerings by Scrimba, Packt etc. are useless and waste of time. My opinion and i have taken quiet a few courses on Coursera platform.