Fireplexity: The Open-Source Answer Engine Inspired by Perplexity AI
What is Fireplexity?
Fireplexity is an open-source AI search engine developed by the Mendable AI team, built on top of the Firecrawl web crawling API. It enables users to ask natural language questions and get intelligent, real-time answers—complete with citations, source links, and live data visualization.
Key Features
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Real-Time Web Search
Uses the high-performance Firecrawl API to retrieve and process live web content. -
AI-Powered Answers
Integrates the GPT‑4o‑mini model for fast, streaming AI responses. -
Citation and Source Linking
Every response includes direct citations and source links, increasing trust and traceability. -
Live Stock Chart Embeds
Features built-in support for real-time stock charts via TradingView. -
Smart Follow-Up Suggestions
Automatically suggests follow-up questions for a smooth, conversational experience.
Technical Principles
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Firecrawl Search API
Firecrawl handles web crawling and parses pages into structured data that can be retrieved by the AI engine. -
Streaming Answers via GPT‑4o‑mini
Uses the Vercel AI SDK to deliver fast, streaming responses powered by the GPT‑4o‑mini model. -
Multi-Source Integration
Combines search results, stock data, and other external sources into a unified output. -
Full-Stack Architecture
Built with a Next.js front end and environment-configurable back end, using variables such asFIRECRAWL_API_KEY
andOPENAI_API_KEY
.
Project Repository
Use Cases
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Knowledge Q&A Platform
Acts as an open-source, self-hosted alternative to Perplexity AI—ideal for users and developers who value transparency and control over data sources. -
Developer Tool Integration
A flexible solution for developers to embed intelligent Q&A engines into websites, apps, or chatbots with full customizability. -
Financial Insights
Includes real-time stock charts, making it useful for market tracking and investment research. -
Education & Research Support
Great for academic or learning scenarios, offering smart answers with references and interactive follow-ups.