Perplexity AI Unveils Internal Knowledge Search and Spaces Features for Enhanced AI-Powered Research

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On Fri, 18 Oct, 8:01 AM UTC

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Perplexity AI introduces two new features: Internal Knowledge Search and Spaces, revolutionizing AI-powered search and collaboration for enterprise and individual users.

Perplexity AI Introduces Groundbreaking Features

Perplexity AI, a leading artificial intelligence search platform, has unveiled two innovative features that promise to transform the landscape of AI-powered research and collaboration: Internal Knowledge Search and Spaces [1][2][3]. These new tools, available to Perplexity Pro and Enterprise Pro subscribers, aim to enhance productivity and streamline information management for both businesses and individual users.

Internal Knowledge Search: Bridging Internal and External Data

The Internal Knowledge Search feature allows users to seamlessly integrate their personal or company files with web-based information, creating a unified knowledge base [1][4]. This groundbreaking approach enables users to:

  1. Search across both internal documents and the internet simultaneously
  2. Receive consolidated responses based on combined data sources
  3. Set a framework for desired response levels
  4. Conduct more comprehensive research and analysis

Aravind Srinivas, CEO of Perplexity AI, emphasized the significance of this feature, stating, "Being able to carry out all your research -- across both internal and external sources of data -- in one consolidated knowledge platform will unlock tremendous productivity gains for every enterprise" [5].

Spaces: Collaborative AI-Powered Research Hub

Perplexity Spaces introduces a new dimension to collaborative research and information organization [2][3]. Key features of Spaces include:

  1. Ability to invite up to 10 collaborators
  2. Upload and share up to 50 personal files
  3. Customize AI models and set specific instructions for responses
  4. Organize research threads and files by topic or project

This feature is designed to cater to various use cases, from academic research to business projects and personal endeavors [3].

Enhanced Functionality and Integration

Both new features offer additional capabilities to augment user experience:

  1. Choice of AI models, including GPT-4 and Claude [3]
  2. Integration with Perplexity Pages for easy conversion of research into shareable blog posts [3]
  3. Support for various file formats, including Excel sheets, Word documents, and PDFs [5]
  4. Planned third-party data integration with platforms like Crunchbase and FactSet for Enterprise Pro users [1][5]

Privacy and Security Considerations

Perplexity AI has emphasized its commitment to data privacy and security [2][5]. Enterprise Pro customers are automatically opted out of using their private data for AI training, while regular Pro users can manually opt out through settings [4].

Industry Impact and Competition

The introduction of these features positions Perplexity AI as a strong competitor in the AI-powered search and collaboration market. The company faces competition from established players like Glean and Elastic, who offer similar enterprise RAG (Retrieval Augmented Generation) platforms [5].

Controversies and Challenges

Despite its innovations, Perplexity AI has faced accusations of content scraping and potential copyright infringement. Several major publications, including CNBC, Forbes, and The New York Times, have raised concerns about the platform's use of their content [4]. These legal and ethical challenges may impact the company's future operations and relationships with content providers.

As Perplexity AI continues to evolve its offerings, the introduction of Internal Knowledge Search and Spaces marks a significant step forward in AI-powered research and collaboration tools, potentially reshaping how businesses and individuals interact with and leverage information in the digital age.

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