Mukund Sridhar is the tech lead for Gemini Deep Research at Google. He explains why Google avoids over-optimizing research agents for synthetic benchmark tests.
Insight
Sridhar: Vector dot-product RAG breaks down on multi-attribute queries
“The tricky thing for RAG, it really works well because a lot of these things are doing like cosine distance, like a dot product kind of a thing, and that kind of gets challenging when your query side has multiple different attributes. The dot product doesn't r…”
Insight
Sridhar: Horizontal plug-and-play AI agent platforms are premature
“I feel like it's still early days for us, like to try to platformatize or like try to build these, oh, there are these five horizontal pieces. And you can plug and play and build your own agent. My personal opinion is we are not there yet. In order to build a …”
Disclosure
Sridhar: Gemini Deep Research falls back to RAG beyond context limits
“We also have we have retrieval mechanisms, if required. So we natively try to use the context as much as it's available beyond which you know, we have, like, a rag setup to figure out”
Insight
Sridhar: Deep Research targets multi-tab exploratory queries rather than direct searches
“There are things that, you know exactly what you're looking for and their search is still probably, you know, a very, you know, probably one of the best places to go. I think where deep research really shines is that, like, Multiple facets to your question, an…”
Insight
Sridhar: Sequential grounding on prior search turns is key for deep research
“This notion of being able to read outputs from the previous turn ground on that to decide what to do next, I think was key. Otherwise, you have, like, incomplete information, and your report becomes a little bit of a, like, a high-level bullet point.”
Disclosure
Sridhar: Deep Research Uses Base Gemini With Custom Post-Training
“Yeah, I don't think we have special access, per se. It's pretty much the same model. We, of course, have our own post-training work that we do, and Y'all can also, like, you know, you can fine tune from the base model and so on.”