# 3P

- **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:** [Sachin Keswani](https://cerebralvalley.ai/u/shreem)
- **GitHub:** https://github.com/techstar9797/3P
- **Demo video:** https://youtu.be/4-IKkgbo__U
- **Gallery:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/5

Plug n Play solution for manufacturing using vector similarity. Calculates similarity between two or more manufacturing parts for suitable replacement. It also checks for cost and tariff impact. Provides data provenance by showing which LLM was used and reasoning to optimize for cost,quality or speed.

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Markdown version of https://cerebralvalley.ai/e/mongoDB-hackathon/hackathon/gallery/5. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt