Information Retrieval
topic on 5 shows · 7 statements across 7 episodes
Innovators & Investors 
No Priors 
the MAD Podcast 
the a16z Podcast 
All-In
7 statements about Information Retrieval, every show
Srinivasan: Needle.ai's core IP centers on information retrieval and search
“So here it's actually our IP is not, is, is, is, is, is primarily in the information retrieval or the search piece of it. And that's what we are good at.”
Stoica: Users grading answers to their own questions is the gold standard
“This is now from information retrieval field for decades, and it's called gold standard, when people evaluate the answer to their own questions. When an expert evaluates someone else questions, and the answer is called the silver, if I remember correctly.”
Jain: Models reason significantly better when data is pre-organized
“There is a good amount of, ah, work that you have to do and present the information, ah, to the model in some, you know, in some organized fashion. That's when they're going to actually do a much better job reading that information, reasoning over it, and givi…”
Core AI IP advances may shift from foundation models to retrieval
“So maybe the core intellectual property advance actually happens in the information retrieval step and the embeddings and the vectors as opposed to the underlying models.”
Huber: 'Vector database' is too narrow a term for information retrieval
“I don't actually like the term vector database that much. I think it's sort of narrow. I think the job to be done is information retrieval more broadly, and vector search happens to be a useful tool in our toolbox to doing information retrieval.”
Friedberg: Every business model based on search will be rewritten
“Fundamentally every business model can and will need to be rewritten. That's dependent on the historical, on the legacy of kind of information retrieval as the core of what computing is used to do.”