RAG Reranking Explained: How To Improve RAG Results скачать в хорошем качестве

RAG Reranking Explained: How To Improve RAG Results

Reranking can improve the results of your RAG application by up to 10-30%. This video explains how reranking works, walks through how to implement it in Python (using an example RAG app), and measuring how it effects the results. 👉 Links 🎥 Intro to RAG:    • RAG + Langchain Python Project: Easy AI/Ch...   🎥 Build a Simple RAG Pipeline:    • Build a Simple RAG Pipeline in 30 Minutes!   🔗 Code: https://github.com/pixegami/simple-ra... 🔗 Cohere API: https://cohere.com 📚 Chapters 00:00 Introduction 01:20 Project Overview 04:02 The Problem With Vector Search 07:00 Add Reranking to RAG Pipeline 08:25 Implement Reranking via API 10:08 Testing the Improvement 13:00 Reranking Trade-Offs #pixegami