why aren't all 7 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Assertion Supported
Freedman: pgvectorscale on AWS is 75% cheaper than Pinecone
“The monthly costs of running such a PG vector scale deployment on AWS is 75% less expensive than PyIncome.”
Assertion Supported
Freedman: pgvectorscale is 28 times faster than Pinecone for high recall
“Compared to one of the leading vector-only databases, Pinecone, a PG vector scale is 28 times faster for a high recall scenario.”
Insight
DIY modular vector stacks face scale and latency issues in production
“And actually for prototyping, it's great to use that. Now get that into production at scale. And that's when you're going to start running into hiccups in terms of scalability cost wise, scalability performance wise on the ingest side, and then on the query ru…”
Disclosure
Liberty: Pinecone did not foresee the massive ChatGPT-driven AI surge
“We didn't, by the way, foresee any of this ChatGPT thing happening. We knew it was, it would keep growing, but that, I think, completely took everybody by surprise, including us.”
Assertion Supported
Liberty: Cloud hyperscalers are actively building competing vector database capabilities
“I know for a fact they're looking at it. I know for a fact they will have something.”
Assertion Not checkable as stated
Liberty: A developer used Pinecone to build facial recognition for cows
“One of my favorite applications is somebody built a face detection for cows”
Disclosure
Liberty: Pinecone measures hallucination reduction as a core product metric
“In fact, I was looking at experiments today from one of our teams, and we literally measure reduction in hallucination as one of the core metrics that, that, that we try to drive.”