How to build recommendation systems with Pinecone in 2 minutes ; )
This video walks through the high-level steps of how you can use Pinecone to build simple recommendation systems. For demonstration purposes, we'll use the example of workout recommendations. This video is intended to be highly educational AND entertaining. Code INCLUDED below.
ToC
00:00 Intro
00:10 STEP 1 - Seed the vector database with data
01:18 STEP 2 - Generate recommendations
01:52 STEP 3 - Test it all out
HERE IS THE CODE:
FRONTEND: https://github.com/thaddavis/fullstac...
BACKEND: https://github.com/thaddavis/fullstac...
The FRONTEND is a Next.js v14 application
The BACKEND is a FastAPI v0.112 application
YOGA BALL TO SAVE YOUR A**: https://amzn.to/3T2VvWK
BMAC: https://buymeacoffee.com/cmd_labs
#pinecone #vectors #vector #database #google #googlecloud #ai #ml #aws #huggingface #embedding #miami #miamitech #gptuesday #agents #recommendations #anomalydetection #anomaly #multimodal #meta #learn #software #softwaredevelopment #softwareengineer #softwareengineering #softwareengineeringtutorials #retrieval #augmented #generation #langchain #langsmith