Fireplexity: Open-source Alternative to Perplexity AI

Fireplexity is a free, open-source AI search engine that provides instant answers with real-time citations powered by Firecrawl’s web scraping technology.

It functions as a clone of Perplexity, but with the key difference that you can host it yourself. This means you have full control over the code and your data.

Features

• Real-time Web Search: Uses Firecrawl’s search API to crawl and scrape web content reliably, handling JavaScript rendering and complex website structures that often trip up other scraping tools.
• AI-Powered Responses: Streams intelligent answers using GPT-4o-mini, though you can swap in any OpenAI-compatible endpoint to match your specific needs or budget constraints.
• Source Citations: Every claim in generated answers includes verifiable references with interactive hover previews, allowing users to fact-check information instantly.
• Live Stock Data Integration: Automatically detects stock mentions and displays TradingView charts for over 180 companies, demonstrating the tool’s extensibility for specialized use cases.
• Smart Follow-up Questions: AI generates contextually relevant follow-up questions to help users explore topics more deeply.
• Smart Content Selection: Goes beyond simple keyword matching by scoring content for relevance and identifying the most valuable information on each page.
• Streaming Interface: Provides real-time answer generation with a responsive user interface built on Next.js 15 and the Vercel AI SDK.

Use Cases

• Internal Knowledge Base: Transform your company’s scattered documentation and resources into an intelligent search system that provides direct answers instead of forcing employees to hunt through multiple documents.
• Research Tool for Specialized Domains: Build domain-specific answer engines for fields like medical research, legal analysis, or technical documentation where accuracy and source verification are critical.
• Customer Support Enhancement: Create a customer-facing search tool that can answer common questions with citations, reducing support ticket volume while maintaining transparency about information sources.
• Content Creation Support: Use as a research assistant for writers and content creators who need quick access to verified information with proper attribution for fact-checking.
• Educational Platform Integration: Implement as part of learning management systems where students can ask questions and receive answers with educational sources clearly cited.

How to Use It

1. Clone the project from GitHub. Open your terminal and run:

git clone https://github.com/mendableai/fireplexity.git
cd fireplexity

2. Install the necessary dependencies:

npm install

3. You’ll need API keys from Firecrawl and OpenAI. Copy the example environment file:

cp .env.example .env.local

Then, open .env.local and add your API keys:

FIRECRAWL_API_KEY=fc-your-api-key
OPENAI_API_KEY=sk-your-api-key

4. Once your keys are in place, you can start the development server:

npm run dev

5. Now you can access your own AI search engine at http://localhost:3000.

Pros

• Complete Control: You own the entire codebase and can modify every aspect of the search experience, from the user interface to the AI model selection.
• No Vendor Lock-in: Being open-source means you’re not dependent on a third-party service that could change pricing, terms, or availability.
• Production Ready: The tool includes proper error handling, streaming responses, and interactive features that work reliably in real-world scenarios.
• Extensible Architecture: The modular design makes it easy to add new features, integrate additional data sources, or customize the AI processing pipeline.
• Transparent Citations: Every answer includes verifiable sources with interactive previews, building trust with users who can fact-check information immediately.
• Cost Effective: You only pay for the API calls you make to Firecrawl and OpenAI, without additional subscription fees or per-user charges.
• Fast Deployment: Can be deployed and running in under 5 minutes with proper API keys configured.

Cons

• Technical Setup Required: You need familiarity with Node.js, environment variables, and basic web development to get it running properly.
• API Dependencies: The tool relies on external services (Firecrawl and OpenAI) which means ongoing costs and potential service interruptions.
• Limited Built-in Customization: While the code is fully customizable, significant modifications require development work rather than simple configuration changes.
• Resource Requirements: Running your own instance means managing hosting, scaling, and maintenance responsibilities.
• Search Quality Limitations: The quality of answers depends heavily on the underlying AI model and the web content that Firecrawl can access.

Related Resources

• Firecrawl Documentation provides comprehensive guides for the web scraping API that powers Fireplexity’s content acquisition, including advanced features like JavaScript rendering and rate limiting.
• OpenAI API Documentation covers the GPT models and streaming capabilities that generate Fireplexity’s intelligent responses, plus information about alternative model options.
• Next.js 15 Documentation explains the React framework underlying Fireplexity’s frontend, which is useful for customizing the user interface or adding new features.
• Vercel AI SDK documentation details the streaming and AI integration tools that enable Fireplexity’s real-time response generation.
• Firecrawl Discord Community offers a place to ask questions, share customizations, and connect with other developers building AI-powered tools.

FAQs

Q: How much does it cost to run Fireplexity?
A: The primary costs are API usage fees for Firecrawl (starts at $20/month for 2,000 pages) and OpenAI (roughly $0.15 per 1,000 tokens with GPT-4o-mini). Hosting costs depend on your chosen platform, but can range from free (Vercel hobby plan) to $20-50/month for production hosting.

Q: Can I use different AI models besides GPT-4o-mini?
A: Yes, Fireplexity supports any OpenAI-compatible API endpoint. You can swap in models like Claude, Llama, or other providers that offer OpenAI-compatible interfaces by modifying the API configuration.

Q: How accurate are the search results compared to Perplexity AI?
A: Accuracy depends on the underlying AI model and the quality of web content that Firecrawl can access. In my testing, results are generally comparable to Perplexity for most queries.

Q: Can I customize the user interface?
A: Absolutely. Since it’s built on Next.js, you can modify every aspect of the interface. The component structure is well-organized, making it relatively straightforward to change colors, layout, or add new features like user accounts or search history.