High Performance (Realtime) RAG Chains: From Basic to Advanced
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- Опубліковано 9 чер 2024
- 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 - Наука та технологія
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
This is one of the best asusual, thanks allot rabbit metrics, this is kept to the point
Thank you! 🙏
Wonderful video thanks!
Thank you!
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.
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Thanks! I agree, LCEL needs more focus. I will likely cover that in more detail as we move along.
@@rabbitmetricsyes! Please 🥺
How do you manage the hallucination?
Nice one. Whete can I get this notebook?
Thanks! There's a link with the written tutorial and the code below the video.