Project Title

Perplexica — Open Source AI-Powered Search Engine with Advanced Machine Learning Capabilities

Overview

Perplexica is an open-source AI-powered search engine designed to provide clear answers with sources cited by understanding user queries. It uses advanced machine learning algorithms like similarity searching and embeddings to refine results. Unlike traditional search engines, Perplexica ensures privacy and delivers the most up-to-date information without compromising user data.

Key Features

Local LLMs support for Qwen, DeepSeek, Llama, and Mistral
Two main modes: Copilot Mode (in development) and Normal Mode
Six focus modes for specific types of questions, including Writing Assistant, Academic Search, YouTube Search, Wolfram Alpha Search, and Reddit Search
Integration with SearxNG for real-time, up-to-date search results
API for integrating Perplexica into existing applications

Use Cases

Researchers and academics searching for the latest articles and papers
Content creators and writers using Writing Assistant Mode for writing tasks
Developers integrating Perplexica's search capabilities into their applications
Users seeking the most relevant and up-to-date information without compromising privacy

Advantages

Open-source alternative to Perplexity AI, ensuring transparency and community-driven development
Advanced machine learning algorithms for refined search results
Privacy-focused, avoiding the storage of user data
Regular updates and integration with SearxNG for current information

Limitations / Considerations

Copilot Mode is still in development and may not be fully functional
The project's license is currently unknown, which could affect its usage in certain scenarios
As an open-source project, it relies on community contributions for maintenance and updates

SearxNG: A metasearch engine that Perplexica integrates with for real-time search results. SearxNG is more focused on providing a privacy-respecting search engine rather than AI-powered search capabilities.
Qwant: A privacy-focused search engine that also offers an open-source alternative. Qwant differs in that it does not use AI to the same extent as Perplexica for understanding and refining search queries.
DuckDuckGo: A well-known privacy-focused search engine. While DuckDuckGo does not explicitly focus on AI-powered search, it offers a privacy-conscious alternative to mainstream search engines.

Basic Information

GitHub: https://github.com/ItzCrazyKns/Perplexica
Stars: 23,934
License: Unknown
Last Commit: 2025-09-06

📊 Project Information

Project Name: Perplexica
GitHub URL: https://github.com/ItzCrazyKns/Perplexica
Programming Language: TypeScript
⭐ Stars: 23,934
🍴 Forks: 2,513
📅 Created: 2024-04-09
🔄 Last Updated: 2025-09-06

🏷️ Project Topics

Topics: [, ]

🎮 Online Demos

📚 Documentation

Getting Started with Docker (Recommended)
Non-Docker Installation
here

This article is automatically generated by AI based on GitHub project information and README content analysis

Perplexica

Project Description