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

Rabbitmetrics · Beginner ·🔍 RAG & Vector Search ·2y ago

Skills: RAG Basics90%Vector Stores70%

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

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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

RRF vs DBSF with Qdrant: Hybrid Retrieval Fusion for RAG in Python

Professor Py: AI Engineering