Perplexica - AI RAG and Search Tool
Overview
Perplexica is an open-source AI-powered search engine that performs deep web research to generate and cite answers. The project is hosted on GitHub and targets retrieval-augmented generation (RAG) and search workflows; consult the repository for source code and setup details.
Key Features
- Open-source codebase hosted on GitHub.
- AI-powered search engine for deep web research.
- Generates answers with source citations.
- Designed for retrieval-augmented generation (RAG) workflows.
- Repository includes code and documentation to inspect.
Ideal Use Cases
- Research teams needing cited AI-driven answers.
- Building RAG prototypes and search integrations.
- Automating deep web information retrieval tasks.
- Evaluating open-source alternatives to commercial search tools.
Getting Started
- Open the repository at the provided GitHub URL.
- Read the README for prerequisites and setup instructions.
- Clone the repository to your local machine.
- Install dependencies listed in the repository documentation.
- Follow README configuration steps to enable search and citation.
- Run the demo or launch command described in the docs.
Pricing
No pricing information is disclosed; the project is available as an open-source GitHub repository.
Key Information
- Category: RAG and Search
- Type: AI RAG and Search Tool