I Built A RAG Search Engine from Scratch. скачать в хорошем качестве

I Built A RAG Search Engine from Scratch.

Everyone is building RAG apps… But I wanted to understand how search systems actually work under the hood. So I built my own RAG Search Engine from scratch — implementing keyword search (BM25), semantic search (embeddings), hybrid ranking, reranking, evaluation metrics, and even multimodal search. In this video, I walk through: • How keyword search and semantic search differ • Why hybrid search is so powerful • How reranking improves results • How I evaluated the system using precision, recall, and F1 • And how everything connects into a full Retrieval-Augmented Generation (RAG) pipeline This wasn’t about building a quick demo. It was about deeply understanding modern search systems and how production-grade RAG really works. If you're into AI, search engines, system design, or building real-world LLM applications — this one’s for you. GitHub repo: https://github.com/SplinterSword/RAG-... #RAG #searchengineoptimization #machinelearning #aiengineering #informationretrieval #llm #systemdesign #buildinpublic