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PublicRetrieval-Augmented Generation (RAG) application for semantically querying game lore and rules, powered by Kotlin, PostgreSQL with pgvector, Redis, and multilingual embeddings.
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Retrieval-Augmented Generation (RAG) application for semantically querying game lore and rules, powered by Kotlin, PostgreSQL with pgvector, Redis, and multilingual embeddings.