Advanced RAG Patterns

Implement reranking and hybrid search to significantly improve RAG retrieval quality with measurable metrics.

60 minutes

ai-infrastructure/rag

Lab Overview

This hands-on lab teaches you advanced RAG techniques that dramatically improve answer quality.

You'll learn to:

These techniques transform basic RAG into production-grade systems.

Implement reranking with cross-encoder models to improve retrieval precision

Measure and compare retrieval quality using precision and recall metrics

Build hybrid search combining semantic embeddings with BM25 keyword matching

Optimize RAG pipelines for latency and quality tradeoffs

rag-api-service

ragrerankingcross-encoderhybrid-searchbm25evaluationpython

This lab is part of the RAG Architectures and Vector Databases course

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$99/month

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Start this hands-on lab and build real-world Platform Engineering skills