# Explore

- **Event:** [Agentic Memory & Context Engineering Hackathon](https://cerebralvalley.ai/e/mongoDB-hackathon)
- **When:** Sat, Oct 11 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Harshitha Ravi](https://cerebralvalley.ai/u/harshitha_ravi)
- **GitHub:** https://github.com/harshitha-ravi/kitchen-memory-vault
- **Demo video:** https://www.youtube.com/@harshitharavi
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/44

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.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/44. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt