How I built a RAG-powered Anime Recommendation Engine with Python & FastAPI (Open Sourcing the Journey)
SMRTR summary
Developer built AiMi, a production-grade hybrid RAG engine for anime recommendations that searches by "vibe" rather than keywords. The system combines semantic search with keyword boosting, processes 8,248 anime from scraped data, and includes hardware-aware optimization for CPU/GPU deployment. Features include a viral receipt generator using Playwright and async processing.
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