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A chapter-by-chapter review of the RAG search engine I built while completing Boot.dev’s Learn Retrieval Augmented Generation course. These notes focus on the main ideas introduced in each chapter and how they connect across the project.
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Course: Boot.dev — Learn Retrieval Augmented Generation
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Project: CLI movie search engine using keyword search, semantic search, hybrid retrieval, reranking, evaluation, RAG, and multimodal search
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Preprocessing → TF-IDF → BM25 → Semantic Search → Chunking → Hybrid Search → Query Enhancement → Reranking → Evaluation → Augmented Generation → Agentic RAG → Multimodal Search
Chapter 1: Text Pre-processing