Perplexica is an open-source AI answering engine. It searches the web through SearxNG, a self-hostable metasearch engine, then has a large language model synthesize the results into an answer with sources attached. The model can run fully locally via Ollama, or connect to the APIs of OpenAI, Claude, Gemini, Groq and others. Your queries and history can stay on your own hardware, which is the main draw for privacy-conscious and subscription-weary users. The project has collected more than 30,000 stars on GitHub.
Official repository details
- Platform: GitHub
- Organization: ItzCrazyKns
- Project name: Perplexica
Three modes, and you pick the sources
Perplexica offers three search modes: Speed for quick answers to simple questions, Balanced for everyday use, and Quality for deeper research. Sources can be limited to the web, discussions or academic content, and searches can be scoped to specific websites. File uploads with questions about the contents are supported too. The important detail is that the source list stays visible, so answers can be checked — that is the core difference from an ordinary chatbot window.
Who it suits, and who it does not
It fits people who search with AI every day and would rather not pay a subscription or ship their queries to someone else's servers; small teams that want a shared search front end under their own control; and learners who want to see how an AI answering engine actually works. It does not fit non-technical users with zero appetite for maintenance, anyone expecting polished mobile apps and push features, or teams that need SLA-backed answers — community support is what you get.
The real cost: Docker is only the start
Installation runs on Docker and takes an evening. The ongoing cost starts after that. First, answer quality rides on the SearxNG instance behind it: a poorly configured instance returns thin or noisy results, and the model can only write answers as good as its inputs. Second, the model itself costs money or hardware — API access bills by usage, while running locally through Ollama wants a decent GPU and memory. Third, search engines and page structures keep changing, so after updates a source category can quietly go empty, and you become your own support desk instead of filing a ticket.
Is it worth running?
Netting it out: for technical users with daily search habits and a real privacy reason, Perplexica is worth it — once built, it replaces a good share of subscription searching. If you only research occasionally, or need a vendor to blame when things break, an off-the-shelf service is honestly the better buy. Budget one evening for setup and a little maintenance time each month before you start; accept that bill, and you get a search engine that is genuinely yours.
