Background

Questions

1. Let’s start just with you telling us a little bit about how Pinecone got started and what made you decide to start the company.
2. What did that advancement on the foundation model level mean for Pinecone and for Pinecone customers, and how has it influenced the creation of a ML ‘stack’?
3. With OpenAI turning on its ChatGPT API, how do you think about the potential competitive dynamics there?
4. I can choose to either build my own recommendation algorithm using Pinecone, or I can look for one of these off-the-shelf SaaS tools that will give me a recommendation algorithm as a service. How do you think about that build vs. buy question?
5. Who do you see as the primary user of Pinecone, or person that it's operated by on the SaaS side? And you said machine learning or data scientists, but if you can get any more specific around that, it'd be great to understand—do you think about it like Pinecone empowers people to build stuff that's way more sophisticated than they could build otherwise?
6. I'm curious if there are specific—out of the ones on your website—if there are specific kinds of use cases that you've seen growing really quickly or getting really, really good traction or if it's relatively evenly distributed across anomaly detection search?
7. Do you envision a future where it's somehow split? Some companies, I'm not sure if it makes sense to say bigger companies, use Pinecone, whereas maybe there is a market for 80% applications on top that solves specific problems. How do you think about the future there?
8. What is your five-year vision, if everything goes the way you want it to go, what does Pinecone look like?