# KitchenPal

- **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
- **Placement:** Finalist
- **Team:** [Sathvik Parasa](https://cerebralvalley.ai/u/sathvikparasa), [Harrison Qian](https://cerebralvalley.ai/u/moonflower), [Rithwik Mylavarapu](https://cerebralvalley.ai/u/rithwik-myla)
- **GitHub:** https://github.com/sathvikparasa/mongodb-agentic-memory
- **Demo video:** https://drive.google.com/file/d/1NJrxVjYDdf4VbCxmACrU81wr9Ibi2aTn/view?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/57

KitchenPal is an AI-powered cooking assistant that leverages multiple independent Retrieval-Augmented Generation (RAG) workflows to provide personalized recipe recommendations. By combining semantic search over a vectorized recipe database along with a dynamic user profile database, it delivers recipes tailored to user preferences, dietary needs, and available ingredients. This novel integration of RAG enables context-aware, multi-faceted guidance that feels conversational and intuitive.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/57. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt