Intro to RAG for AI (Retrieval Augmented Generation)

Показать описание

This is an intro video to retrieval-augmented generation (RAG). RAG is great for giving AI long-term memory and external knowledge, reducing costs, and much more.

Join My Newsletter for Regular AI Updates 👇🏼

Need AI Consulting? 📈

My Links 🔗

Media/Sponsorship Inquiries ✅

Рекомендации по теме

Комментарии

What's your favorite use case for RAG?

matthew_berman

A vector database tutorial would be great! Excellent content.

dombayo

I would like a deeper dive into RAG and an end to end pinecone tutorial! Thanks for the great video!

Dant

That's great! build a LOCAL PRIVATE version that uses open source models, not API or any cloud thing!

positivevibe

Great video! I've bee following you for awhile and have set up some edge LLM's using your tutorials. RAG is the future for any business wanting to truly utilize their data. to the fullest. I think that a lot of companies aren't even sure how they can implement their data for the greater good of the business while saving money at the same time. Videos like this help clarify the subject. Please do a video on Pinecone. I'm sure there is a lot of us that would like to see it's capabilities. Keep up the great work.

JustinsOffGridAdventures

I would love to see a tutorial on how to use RAG! I was just thinking on how to solve some of this knowledge problem on a small project I'm working on

JulioCesarjcfalcone

A full tutorial would be great - thanks so much 👍

forifand

PLEASE do the how-to on setting this up. It is a key piece to the puzzle, for sure. Thank you for all the great content!

mcarrusa

Thanks you for making this Video. I am a Non Techie trying to get easy to understand method of querying my documents using RAG with open source LLMs. Would eagerly await your full tutorial on this topic .

nareshtaneja

Very well explained : short and clear with good examples, thanks!

ytrew

Be interested to see best practices for keeping the RAG database up to date. For example if a new PDF is dropped into a watched folder the PDF gets submitted to the embedding model automatically. Likewise for PDFs that are out of date and removed which should them be dropped from the vector database.

shuntera

This is one of the best videos I watched from you as a junior AI engineer 👌🏼 BEAUTIFUL

AbdulMajeed-lfsq

RAG requires a knowledge graph DB as well in order to find information not directly mentioned which is a limitation of RAG, a tutorial incorporating both would be amazing

dcmumby

I would also like more tutorials on RAG and techniques to improve chatbots. Thanks Matthew for this content. I like your posts on news but tutorials are also useful and appreciated given your ability to communicate such concepts.

Idea-LabAi

I've heard about RAG before, but this video helped me understand it much better. Thank you for sharing your knowledge! I would greatly appreciate it if you could make another video demonstrating how to use it with a real-life example

BrankoPetrovic-fz

Just discovered this channel and it quickly leapfrogged others as one of my favorite AI channels. I'm a Data Scientist starting to work in the LLM arena and these videos are super helpful. I'd love a full tutorial on RAG!

bitcloud

Rag tutorial please, especially use case of local open source llm. Thanks!

dennis

Yes! Please set up a full tutorial for us. This is powerful. I have a Custom GPT business and I’ve always known I need to incorporate RAG in the most pragmatic way possible to advance my capabilities. So it sounds like Pinecone is the way to go. Thanks so much for your help.

paultoensing

A tutorial would be amazing! It’s exactly what I need for something I wanted to experiment with

jack.splash

Claude's new Projects feature is like a simple RAG. I've given it all the knowledge about a novel I'm working on and it has been surprisingly good at understanding all the nuances. Way better than a normal conversation.

studiophantomanimation

Intro to RAG for AI (Retrieval Augmented Generation)

Intro to RAG for AI (Retrieval Augmented Generation)

What is Retrieval-Augmented Generation (RAG)?

RAG Explained

What is RAG? (Retrieval Augmented Generation)

Back to Basics: Understanding Retrieval Augmented Generation (RAG)

Introduction to Gen AI & Retrieval Augmented Generation (RAG)

Intro to RAG (Retrieval Augmented Generation) - Augment AI models with external memory

Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer

You SHOULD be using RAG for your AI use-cases

Building Production-Ready RAG Applications: Jerry Liu

What is Retrieval Augmented Generation (RAG) - Augmenting LLMs with a memory

Retrieval Augmented Generation (RAG) | Embedding Model, Vector Database, LangChain, LLM

RAG From Scratch: Part 1 (Overview)

Ep. 17 - Intro to Retrieval Augmented Generation (RAG)

Getting started with (Retrieval Augmented Generation) RAG in Java & Spring AI

Understanding Retrieval Augmented Generation (RAG)

Python RAG Tutorial (with Local LLMs): AI For Your PDFs

How to Improve LLMs with RAG (Overview + Python Code)

Getting started with DSPy: A beginners guide to RAG

How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini

What is Retrieval Augmented Generation (RAG) and how does Azure AI Search unlock RAG?

Why Everyone is Freaking Out About RAG

🤯The tech behind AI Girlfriends: RAG (retrieval augmented generation)

Fast Start to RAG (updated for 2024) – Intro