Perplexity, a leading AI-powered search platform, has today announced the launch of Perplexity for Internal Search. This new tool aims to revolutionize how teams search for information by combining web search with the ability to search through internal files and documents.

Perplexity for Internal Search leverages advanced natural language processing and machine learning techniques to understand complex queries and provide relevant results. Users can ask questions in natural language, and the tool will search both the web and their team's internal repositories to find the most accurate and up-to-date information.

The tool also features multi-step reasoning capabilities, allowing it to follow chains of thought and provide more comprehensive answers. Additionally, Perplexity for Internal Search supports code execution, making it a valuable tool for developers and data scientists.

"We believe that Perplexity for Internal Search will significantly improve productivity and collaboration for teams of all sizes," said Aravind Srinivas, CEO of Perplexity. "By providing a unified search experience that spans both external and internal sources, we are empowering teams to find the information they need quickly and easily."

Perplexity for Internal Search is now available for businesses of all sizes. For more information, please visit https://www.perplexity.ai/.