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Perplexity AI launches free deep research tool

Perplexity Research
Perplexity Research

Perplexity AI has introduced a new Deep Research tool that is now available for free to all users. The tool is designed to conduct comprehensive research by performing multiple searches, reading through hundreds of sources, and generating detailed reports on its own. CEO Aravind Srinivas introduced the Perplexity Deep Research Agent as a quicker and more efficient option than other solutions.

 

While the tool is free to use with some limits, paid users can access up to 500 daily queries for $20 a month and get full research reports in under three minutes. “Our goal is to democratize ‘expertise on any topic’ and make it widely accessible and useful,” said Srinivas. The tool uses open-source models to keep performance high and costs low, making advanced research abilities available to many people.

 

The Deep Research tool works similarly to how humans do research. It searches, reads documents, and repeatedly improves its research plan.

Perplexity’s free research tool released

It then organizes all the information it gathers into clear and complete reports. These reports can be downloaded as PDFs or documents or turned into a Perplexity Page to share easily.

Perplexity AI says its Deep Research tool is great at making work products in many areas, such as finance, marketing, and technology.

 

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It is also promoted as a helpful personal assistant for health, product research, and travel planning. The company points out that this new feature will let users do expert-level analysis on many complex topics, positioning Perplexity AI as a valuable tool for personal and professional use.

Perplexity AI is known for its ability to answer questions well. The Deep Research tool now expands those abilities. With ongoing innovation, the company aims to change how users approach and do research, making high-level expertise accessible to everyone.

Image Credits: Photo by Artem Podrez on Pexels

Cameron is a highly regarded contributor in the rapidly evolving fields of artificial intelligence (AI) and machine learning. His articles delve into the theoretical underpinnings of AI, the practical applications of machine learning across industries, ethical considerations of autonomous systems, and the societal impacts of these disruptive technologies.

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