Perplexity-style iterative research with Gemini and Google Search

AI Comprehensive Research on User's Query with Gemini and Web Search

What is this? Perform comprehensive research on a user's query by dynamically generating search terms, querying the web using Google Search (by Gemini) , reflecting on the results to identify knowledge gaps, and iteratively refining its search until it can provide a well-supported answer with citations. (like Perplexity)

This workflow is a reproduction of gemini-fullstack-langgraph-quickstart in N8N.

The [gemini‑fullstack‑langgraph‑quickstart](https://github.com/google-gemini/gemini-fullstack-langgraph-quickstart) is a demo by the Google‑Gemini team that showcases how to build a powerful full‑stack AI agent using Gemini and LangGraph

How It Works

Generate Query 💬 - generates one or more search queries tasks based on the User's question. - uses Gemini 2.0 Flash

Web Research 🌐 - execute web search tasks using the native Google Search API tool in combination with Gemini 2.0 Flash.

Reflection 📚 - Identifies knowledge gaps and generates potential follow-up queries.