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Perplexica - AI RAG and Search Tool

Overview

Perplexica is an open-source, AI-powered search engine focused on deep web research that synthesizes findings and returns cited answers. According to the project's GitHub repository (https://github.com/ItzCrazyKns/Perplexica), the tool is intended to combine retrieval and generative components to produce concise, source-backed responses rather than unreferenced text. This positions Perplexica for retrieval-augmented generation (RAG) use cases where provenance and traceability are important. The project is distributed via GitHub and is aimed at developers and researchers who need a self-hostable search/synthesis pipeline that emphasizes citations. The repository description highlights generation of answers with accompanying citations drawn from retrieved web content. For the latest implementation details, release notes, and active development status, consult the repository README and recent commits on the project page.

Installation

Install via docker:

git clone https://github.com/ItzCrazyKns/Perplexica.git
cd Perplexica && docker-compose up -d

Key Features

  • Performs deep web research to discover relevant material beyond standard search indices
  • Generates concise natural-language answers that synthesize multiple retrieved sources
  • Returns inline citations and source metadata alongside generated answers
  • Designed for retrieval-augmented generation (RAG) workflows with source-aware synthesis
  • Open-source GitHub project intended for self-hosting and developer customization

Community

Perplexica is hosted on GitHub where contributions are accepted via issues and pull requests. Community engagement details (stars, forks, recent commit activity, and user reviews) should be checked directly on the repository page for current metrics and discussion threads.

Last Refreshed: 2026-01-09

Key Information

  • Category: RAG and Search
  • Type: AI RAG and Search Tool
Visit Official Website

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