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Perplexity Hub is the definitive resource for understanding and using the Perplexity AI platform featuring updates, tutorials, feature breakdowns, comparisons, and practical guides to help readers research smarter with AI.
Perplexity Hub
Why Perplexity Sometimes Ignores Follow-Up Questions
Perplexity sometimes appears to ignore a follow-up question because the product has to carry forward conversation context while also interpreting...
Perplexity Hub
How Many Sources Does Perplexity Read per Query?
The current 2026 answer to how many sources does Perplexity read per query is mode-dependent: Standard Search typically uses 1-2...
Perplexity Hub
What Happens to My Perplexity Spaces When I Cancel Pro?
Cancelling Perplexity Pro does not delete your account or immediately erase the work that used to live in Spaces: your...
Perplexity Hub
Can Perplexity Read Files From Google Drive? 2026
Yes – Perplexity can read files from Google Drive through its Google Drive Connector on Pro, Max, Enterprise Pro, and...
Perplexity Hub
How to Export Perplexity Threads to a Document (2026)
How to export Perplexity threads to a document is now straightforward: open a thread on the web, use the three-dot...
Perplexity Hub
Why Does Perplexity Truncate Long Answers? 2026
The answer to ‘why does Perplexity truncate long answers’ is that response preferences, model or system generation budgets, task compression,...
Perplexity Hub
Does Perplexity Use the Same Model Every Time? (2026)
No: Perplexity does not use the same model every time. The question “does Perplexity use the same model every time”...
Perplexity Hub
How to Make Perplexity Cite More Academic Sources
How to make Perplexity cite more academic sources: switch the source focus to Academic, use a research-capable search mode, and...
Perplexity Hub
Why Does Perplexity Show Ads in Some Answers?
Perplexity showed ads in some answers because it historically tested sponsored follow-up questions and paid media on selected traffic, but...
Perplexity Hub
Why Does Perplexity Sometimes Refuse to Answer?
🧩 Five failure layers can produce the same apparent refusal: model safety, Perplexity controls, retrieval failure, account limits, and technical...