Perplexity
AIFeaturedPerplexity is a web-based answer engine that searches the live web and returns concise, sourced answers and summaries with citations.
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Free Available
Starting from Free
Premium plans available
Perplexity
AIFeatured
Perplexity is a web-based answer engine that searches the live web and returns concise, sourced answers and summaries with citations.
-(0 Reviews)
Free Available
Starting from Free
Premium plans available
About Perplexity
Perplexity is an answer engine and research assistant that searches the web, synthesizes information, and returns concise answers with live citations so users can verify sources. It provides conversational follow-ups, summarized explanations, and integrates into developer workflows (for example, a GitHub Copilot extension) to deliver up-to-date, source-backed assistance while coding or researching. Perplexity emphasizes transparency by surfacing references for each answer and supports programmatic and third-party integrations via unofficial and official extensions and SDKs.
Key Features
Web-backed Answers with Citations: Searches the live web, aggregates information from multiple sources, and returns synthesized answers with direct citations so users can verify claims in real time.
IDE Integration (GitHub Copilot Extension): Integrates into coding workflows via a Copilot extension to surface web-sourced answers and references directly in the developer environment.
Conversational Follow-ups: Maintains context across follow-up queries, allowing iterative clarification and deeper exploration of topics within a single conversation.
API & Developer Integrations: Supported by community SDKs and integrations that enable programmatic queries, streaming responses, file attachments, and selectable response modes in some clients.
Multiple Response Modes: Offers different answer modes (e.g., automatic summarization vs. reasoning) in client implementations to tailor responses for clarity or detailed explanation.
Live Source Verification: Presents live references and source links alongside answers to improve transparency and enable immediate fact-checking.
Web-based answer engine that returns concise answers with live web references and citations.
Integration with GitHub Copilot via an extension to provide real-time web search inside the IDE (works with Copilot Chat and Copilot in the IDE).
Unofficial API wrappers (community projects) offering synchronous and asynchronous Python clients and a CLI/web interface.
Query parameters exposed by wrappers: mode (e.g., reasoning/auto), model selection, sources filter (e.g., web), file upload support, streaming responses toggle, language selection, follow-up queries, incognito mode.
Supports passing files with queries (file content included in requests via wrappers).
Streaming response support (stream=True/False) in community clients for incremental output.
Works with multiple programming languages via IDE integration (GitHub Copilot extension supports JavaScript, Ruby, C++, Python, Java, Go, Rust, TypeScript, CSS, HTML for developer workflows).
Account automation observed in community tooling using Emailnator and cookie-based authentication (requires obtaining cookies).
Free tier available; Copilot extension usage requires a GitHub Copilot license.
Use Cases
Research Summaries: Quickly obtain concise summaries of web content and literature with links to original sources for academic or market research.
Coding Assistance with Sources: Ask coding questions inside the IDE and receive answers backed by web references via the GitHub Copilot extension to validate solutions.
Fact-Checking and Verification: Use Perplexity to verify claims, find primary sources, and trace assertions back to original reporting or documentation.
Quick Knowledge Retrieval: Get fast, synthesized answers to general knowledge or domain-specific questions without manually sifting through search results.
Content Preparation: Compile referenced summaries and source lists to support writing reports, blog posts, or presentations with verifiable citations.
Customer Support & Troubleshooting: Pull together authoritative troubleshooting steps and documentation links to provide accurate, sourced responses to user queries.
Developer code assistance with live, cited web references inside IDEs (via Copilot extension).
Research and fact-checking where concise answers with sources are required.
Integrating web-sourced Q&A into applications using community/unofficial Python clients (sync/async).
Automated query workflows that attach files and request model reasoning or follow-up queries.
Streaming-based bots or UIs that render incremental answer output.
Screenshots
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