High Performance (Realtime) RAG Chains: From Basic to Advanced
Key Takeaways
This video teaches how to build high-performance real-time Retrieval Augmented Generation systems using Llama 3, GroqCloud, LangChain, and Redis
Original Description
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:
https://www.rabbitmetrics.com/realtime-rag-with-llama-3
Here's a tutorial on how to set up a database on Redis:
https://youtu.be/MXhfLUoIRno
The dataset used in the video
https://huggingface.co/datasets/ashraq/fashion-product-images-small
▬▬▬▬▬▬ 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
AI explanation not available for this lesson yet
This lesson is still being prepared for the AI tutor. In the meantime, explore lessons that are ready.
Browse explainer-ready lessons →
More on: RAG Basics
View skill →Related Reads
📰
📰
📰
📰
Speculative RAG, Explained Simply: Why Asking 3 Small Helpers Beats Asking 1 Big Expert
Medium · RAG
Adaptive RAG: Designing Retrieval Pipelines That Choose the Right Strategy at Runtime
Dev.to AI
RAG Solutions for Secure Enterprise Knowledge Access
Medium · RAG
What is Graph RAG? | Knowledge Graphs & Multi-Hop Reasoning Explained | The Great Train Heist
Dev.to AI
Chapters (5)
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
🎓
Tutor Explanation
DeepCamp AI