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Extract & Summarize Wikipedia Data with Gemini AI

Original n8n title: Extract & Summarize Wikipedia Data with Bright Data and Gemini AI (lm Chat Google Gemini)

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI. Uses lmChatGoogleGemini, httpRequest, chainLlm, chainSummarization. Event-driven trigger; 12 nodes.

Event trigger★★★★☆ complexityAI-powered12 nodesGoogle Gemini ChatHTTP RequestChain LlmChain Summarization
AI & RAG Trigger: Event Nodes: 12 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow follows the Chainllm → Chainsummarization recipe pattern — see all workflows that pair these two integrations.

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About this workflow

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI. Uses lmChatGoogleGemini, httpRequest, chainLlm, chainSummarization. Event-driven trigger; 12 nodes.

Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8n-workflows-by-Zie619/ai/sczRNO4u1HYc5YV7_Extract_&_Summarize_Wikipedia_Data_with_Bright_Data_and_Gemini_AI.json — original creator credit. Request a take-down →

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