Vector Store
topic on 2 shows · 5 statements across 5 episodes
5 statements about Vector Store, every show
Wu: Blindly following customer requests leads to AI product local maxima
“Because the field is changing so much at any point in time, you know, a lot of people are kind of in this local, local maximum. And if you just blindly listen to your customers, they'll, they'll be like, yeah, I want a better vector store. Like I want a better…”
Pokrass predicts developers will abandon RAG vector stores for direct long-context
“So we do expect a lot of developers to start, you know, uploading their full context more directly to the model. So for smaller tasks, you maybe don't need The whole vector store.”
Shah: I built a personal vector store indexing 3 million of my emails
“So I have three million that I've built a vector store off of, did it solve my own personal use cases.”
Handa: Vector stores require metadata filtering above 5,000 records
“Metadata filtering was like the main thing people were asking us for a while, and that's the one I'm super excited about. I mean, it's just so critical. Once you're like vector store size goes over, you know, more than like, you know, five, 10,000 records, you…”
Liu: Improving vector store lookup algorithms offers low marginal gains
“I don't think the delta on, like, improving the vector store, like, embedding lookup algorithm is that high. I think this stuff has been mostly solved or at least there's just a lot of other stuff you can do to try to improve the overall performance.”