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Perplexity AI addresses the core problem with web research as traditionally practiced: that finding a good answer requires visiting multiple pages, evaluating each source's credibility individually, reading enough of each to extract the relevant information, and synthesizing what you found into a coherent understanding. Perplexity handles all of those steps and delivers the synthesized result with transparent sourcing.
The Spaces collaboration feature creates shared research environments where teams can conduct searches, save findings, and build shared knowledge bases around specific topics or projects. Team members contribute queries and see collective research accumulate in an organized space. Collection and thread saving preserves important searches and their answers for future reference, building a personal research archive organized by the topics and projects that matter.
Model selection flexibility routes queries to different AI models — including GPT-4o, Claude, and Perplexity's own models — depending on which produces best results for specific question types, available within the Pro tier. Writing assistance tools extend Perplexity beyond question answering to drafting, summarization, and content generation grounded in real source material rather than purely model knowledge.
The native desktop application provides faster access and better system integration than the web interface, including keyboard shortcuts, system notifications for completed searches, and native file handling for uploads. Search history and organization maintains a complete searchable record of all past queries and answers, making previous research findable rather than requiring searches to be repeated when a past answer is needed again.
- Spaces collaboration — shared team research environments
- Thread and collection saving — organized research archive
- Model selection — GPT Claude Perplexity models
- Writing assistance — source-grounded content drafting
- Native desktop app — keyboard shortcuts notifications
- Search history — complete past query archive
- Community discussion sourcing — real user experience surfaced
- Source credibility transparency — every source linked directly
- Research teams — collaborate on shared topic investigation with collective knowledge bases
- Writers — ground content in real sources with citations available for reference
- Professionals — answer domain questions quickly with verifiable source transparency
- Curious learners — explore topics deeply through progressive follow-up question sequences
Team research projects · Content creation · Knowledge management · Competitive intelligence · Policy research · Educational institutions · Consulting · Healthcare decisions · Technology assessment · Strategic planning
The focused search modes address a problem that general web search handles poorly: different questions require different source types to answer well. A question about a research finding needs academic publications, not news articles or Reddit threads. A question about user experience with a product benefits most from community discussion, not marketing pages. Perplexity's mode system routes retrieval to the source category most relevant to the question type, producing answers that draw from appropriate sources rather than whatever ranks highest in general web search for the query terms.
"Spaces for team research changed how we handle topic briefings. Everyone contributes queries to a shared space and we all see the accumulated findings organized together rather than scattered across individual browser histories." — Carmen L., Research Lead
"The citation transparency is what makes it usable for professional work. I need to be able to show where information came from. Perplexity gives me that by default rather than requiring a separate verification step." — Ben A., Policy Analyst
- Go to the installation site using the button above.
- Follow the on-screen instructions to install Perplexity AI on your Device.
How does Spaces work for team research?
Create a Space around a topic or project and invite team members. Everyone can conduct searches within the Space, with queries and answers accumulating in a shared organized environment accessible to all members.
Can I upload documents to ask questions about?
Yes. File upload supports asking questions about the content of uploaded documents including PDFs, spreadsheets, and images. The uploaded content combines with web source retrieval for comprehensive answers.
Which AI models are available in Perplexity?
Perplexity's own models are available on all plans. GPT-4o, Claude, and other frontier models are available on Pro tiers for users who prefer specific model characteristics for particular query types.
Does Perplexity maintain a history of past searches?
Yes. All past queries and their answers are saved in a searchable history. Return to any previous search directly without repeating the query.