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

Watch on YouTube ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Building Agentic RAG From Scratch in Pure Python

Building Agentic RAG From Scratch in Pure Python

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

Akamai Developers

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG with LangChain on Google Cloud

RAG with LangChain on Google Cloud

Google Cloud Tech

Related Reads

Why 70% of RAG projects never reach production in 2026

Learn why 70% of RAG projects fail to reach production and how to overcome common challenges in deploying RAG systems

The Knowledge Publisher Pattern: Solving RAG Staleness at the Source

Learn the Knowledge Publisher Pattern to solve RAG staleness by maintaining knowledge artifacts with code modules

A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

Learn to build a production-ready RAG pipeline for PDFs, enabling efficient document parsing, question answering, and retrieval

Towards Data Science

How to Cut RAG Token Costs 90% by Caching the Prefix

Cut RAG token costs by 90% using prefix caching, reducing the financial burden of large payloads

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

The Black Box of RAG-1 || 30 days 30 concepts || Day-3