# RAG optimisation + Reranking Day 2 Lecture

> In this lecture, Zach focuses on maximizing relevance in AI, exploring various types of RAG, and learning how to offload heavy AI tasks to worker tasks. He emphasizes the importance of using Markdown for data input and the significance of metadata filtering and re-ranking in improving retrieval acc…

- Web page: https://www.dataexpert.io/lesson/rag-optimisation-reranking-day2-lecture-oct-2025-p737-l1511
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 2: Advanced RAG, Reranking & Dev Workflow
- Access: Requires enrollment in AIExpert
- Length: 33 min video
- Skills: NLP, LLMs
- Academy: DataExpert.io Academy

## About this lesson

In this lecture, Zach focuses on maximizing relevance in AI, exploring various types of RAG, and learning how to offload heavy AI tasks to worker tasks. He emphasizes the importance of using Markdown for data input and the significance of metadata filtering and re-ranking in improving retrieval accuracy. Zach also dives into hands-on lab work, including updating the chatbot and creating an asynchronous email-generating agent.

## Navigation

- Previous lesson: [RAG optimisation + Reranking Day 1 Lab](https://www.dataexpert.io/lesson/ragoptimisation-reranking-day1-lab-oct2025-p737-l1573.md)
- Next lesson: [RAG optimisation + Reranking Day 2 Lab](https://www.dataexpert.io/lesson/rag-optimisation-reranking-day2-lab-oct2025-p737-l1574.md)