VectorDB
topic on 2 shows · 3 statements across 3 episodes
3 statements about VectorDB, every show
Abraham: Customers almost never ask Reducto about RAG chunking anymore
“Part of the initial interest for Reducto is RAG as a paradigm introduced this need for thinking about chunking, for example. So it wasn't just, can you parse the documents? It was after you parse it, what do I feed into my VectorDB? That was a, Initial selling…”
Habib: Vector databases fail at RAG retrieval beyond 50,000 pages
“Like, it's fine when I am, I've indexed 50 pages, but when it goes to 50,000, you know, I can't get this needle in a haystack out of my kind of VectorDB approach.”
Appenzeller: AI requires a new infrastructure stack including vector databases
“You need a completely different stack in terms of all the different pieces, right? You probably want VectorDBs to retrieve context. You know, you want different types of hosting providers that are good in hosting these models and providing them to you as a ser…”