Deep Search is one of the most powerful features in Consensus. It runs 10x the number of parallel searches at once compared to the standard search, and analyzes 2.5x the number of papers in its response.
And now we’ve made it even more powerful with two new functions.
1) Run a Deep Search across your entire library
We’ve added Deep Search support to the Consensus library. So now you can run a deep review across the thousands of papers that you’ve collected.
Providing deeper, more accurate analysis for the papers you care about.
2) More flexible Deep Search with attachments
Until now, every Deep Search followed the same structure: it built a research plan, worked through it, and returned a similar styled report each time.
Now, you can customize the deep search in any way that you want through your prompts and attach papers to it.
A few examples:
- A long term review of how a field has evolved over time
How has the understanding of Alzheimer’s causation evolved over the last 25 years, from the amyloid hypothesis to now?- Find seminal papers and turn them into a reading list
I’m starting a PhD on machine learning for protein structure prediction. Generate a reading list from seminal works to the current state of the art.- Find potential research collaborators
Who are the most frequent collaborators of Peter Hotez, and what research themes do those collaborations cluster around?— The Consensus team