Uploaded October 2025 | Updated September 2026, 6 hours ago

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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: youtu.be/tcqEUSNCn8I
🎥 Build a Simple RAG Pipeline: youtu.be/gcqp3Fbv4_o
🔗 Code: github.com/pixegami/simple-rag-pipeline
🔗 Cohere API: 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