# Day 2 Lecture: RAG Tradeoffs

> In this lecture Zach dives deeper into identifying trigger points for implementing AI in our businesses, discussing how to make our RAG chunks more relevant, and exploring cloud deployment and unification of applications. He covers four key trigger points: chatbots, CICD, cron jobs, and event queue…

- Web page: https://www.dataexpert.io/lesson/understanding-rag-lecture-day2-july2025-p737-l1176
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 1: Prompt Engineering & Basic RAG
- Access: Requires enrollment in AIExpert
- Length: 35 min video
- Skills: MLOps, LLMs, Git, APIs, CI/CD
- Academy: DataExpert.io Academy

## About this lesson

In this lecture Zach dives deeper into identifying trigger points for implementing AI in our businesses, discussing how to make our RAG chunks more relevant, and exploring cloud deployment and unification of applications. He covers four key trigger points: chatbots, CICD, cron jobs, and event queues, highlighting their risks and benefits. He will also address how to improve the relevance of our RAG results and the importance of proper data chunking.

## Navigation

- Previous lesson: [Day 1 Lab: Vectorizing Inputs into Milvus](https://www.dataexpert.io/lesson/understanding-rag-day1-lab-july2025-p737-l1175.md)
- Next lesson: [Day 2 Lab: Integrating RAG into your full stack app](https://www.dataexpert.io/lesson/understanding-rag-lab-day2-july2025-p737-l1177.md)