Building Quality Semantic Search With Open AI and Pinecone

Historically, building genuine semantic search/recommendation experiences has been out of reach for most developers. Prior to the recent AI boom, delivering a Google quality search experience was thought to be unrealistic and silly. However, customers have come to expect this level of quality. Today, the playing field is leveled. One developer with no background in building machine learning models can now build FAANG quality search experiences. In this talk we will build a production ready semantic search experience from scratch. The core technologies that will power this experience will be Open AI and Pinecone (The OP Stack) 

What we will start with:

- A Next.js app with a catalog of products

 What we will build:

- A system to convert our products to vectors

- A search experience that takes in a query and returns semantically relevant results