ammaarreshi/Gemini-Search
Perplexity style AI Search engine clone built with Gemini 2.0 Flash and Grounding observed · 2026-08-28
Health v2 · maintenance only
21/100
- Activity 0
- Release rhythm 35
- Longevity 43
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 606
- days_rel: n/a
- days_push: 606
- n_releases_24m: 0
Adoption not part of the score
2068 stars · 411 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Perplexity-style AI search engine web application powered by Google's Gemini 2.0 Flash model with Google Search grounding. It provides AI-generated answers with real-time web sources, citations, and follow-up chat in a modern React UI.
Use cases
- build a perplexity-style ai search engine
- get ai answers with web citations
- clone ai search with gemini
- search the web with an llm and see sources
- ask follow-up questions with grounded search
- self-host an ai answer engine
When to choose
- you want a self-hosted Perplexity alternative using Gemini 2.0 Flash
- you need a reference implementation of Gemini grounding with Google Search
- you want a clean React + Express starter for AI search apps
When to avoid
- you need a production-grade search service with auth, scaling, and rate limiting
- you don't have a Google API key with Gemini access
- you need search grounded in sources other than Google Search
Facets
application · maturity active
search-engine chatbot web-framework llm-inference rag artificial-intelligence large-language-models web-development cross-platform perplexity-clone gemini grounding ai-search citations react express typescript search natural-language-processing nodejs web-server
1 source
- readme: https://github.com/ammaarreshi/Gemini-Search · fetched 2026-08-28 · 1e14652d6d94
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ammaarreshi/Gemini-Search | main | 21 |
For agents
markdown · JSON · MCP: product_card(name="ammaarreshi/Gemini-Search")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem