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

I will build high-performance real-time Retrieval Augmented Generation (RAG) systems in this tutorial using Llama 3, GroqCloud, LangChain, and Redis.
The written tutorial, along with the code:
www.rabbitmetrics.com/realtim...
Here's a tutorial on how to set up a database on Redis:
• Beyond Basic LLM Appli...
The dataset used in the video
huggingface.co/datasets/ashra...
▬▬▬▬▬▬ V I D E O C H A P T E R S & T I M E S T A M P S ▬▬▬▬▬▬
0:00 Intro
1:29 Installing libraries and connecting to a databases
3:25 Simple RAG Chain
5:29 Hybrid RAG Chain
7:17 Contextualized RAG Chain

[@brianmorin5547]

New subscriber as you giving content a couple layers deeper than I’m seeing from others
Love how you start simpler then start adding complexity and other variations

[@chikosan99]

amazing!

[@user-pr6nm2di6d]

This is one of the best asusual, thanks allot rabbit metrics, this is kept to the point

[@rabbitmetrics]

Thank you! 🙏

[@paulmiller591]

Wonderful video thanks!

[@rabbitmetrics]

Thank you!

[@DanielWeikert]

Great work. Thanks for sharing. Maybe you could dive into the langchain expression language in one of your future videos. The piping and runnable is not so clear yet.
br

[@rabbitmetrics]

Thanks! I agree, LCEL needs more focus. I will likely cover that in more detail as we move along.

[@formigarafa]

​@@rabbitmetricsyes! Please 🥺

[@Maisonier]

How do you manage the hallucination?

[@rajpdus]

Nice one. Whete can I get this notebook?

[@rabbitmetrics]

Thanks! There's a link with the written tutorial and the code below the video.