End-to-End RAG System
Six lessons of components. One pipeline. One eval loop. One self-terminating demo. This is the system you ship.
Prerequisites: Phase 11 lessons 06 (RAG), 10 (evaluation); Phase 19 Track B foundations (lessons 20-29); Phase 19 lessons 64, 65, 66, 67, 68
#Learning Objectives
- Compose the chunker, hybrid retriever, query rewriter, cross-encoder reranker, and answer generator into a single end-to-end pipeline.
- Implement an answer generator that cites its claims by chunk anchor, with refuse-on-low-confidence fallback.
- Run the lesson 68 eval against the assembled pipeline and prove the staged build wins on every metric over the same components in isolation.
- Build a self-terminating CLI demo that ingests a fixture corpus, runs a fixed query set, and exits zero with a summary report.
Keep going. The rest of this lesson is one step away.
Unlock all 503 lessons, video, code, quizzes and every future update. Pay in your own currency with Paystack.
The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.