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Kitchen Memory Vault - AI-Powered Restaurant Intelligence System A production-ready RAG pipeline with agentic capabilities that gives restaurant kitchens an intelligent memory layer. Staff can log notes, search semantically, and get LLM-grounded answers about specials, inventory, customer preferences, and operations. Key Innovation: Session-based context caching reduces API calls by 80% and improves response time by 50%, making it practical for real-world high-frequency use. Built with MongoDB Atlas Vector Search for semantic retrieval, Voyage AI for embeddings, and Llama-4 for reasoning. Features include hybrid routing (fast-path + ReAct agent), role-based context seeding, and CLI/API interfaces. Solves: Information loss during shift handoffs, scattered kitchen knowledge, and slow manual search through notes.