Gmail Analysis: Visual Summary & Knowledge Graph Insights

Analyzes Gmail emails with AI to generate knowledge graphs revealing main topics, blind spots, and research questions. Delivers visual summaries and insights via Telegram for better email oversight.

n8n
Gmail Analysis: Visual Summary & Knowledge Graph Insights

This n8n workflow is a powerful Gmail analysis template that performs advanced search, filtering, and AI categorization on your emails. It fetches messages based on custom criteria (e.g., last week, sent items, specific senders, or topics like 'business'), processes them to extract key insights, and uses the InfraNodus GraphRAG API to create an interactive knowledge graph. This graph highlights main topics, connections, and structural gaps (blind spots) in your correspondence, automatically generating targeted research questions to spark new ideas.

Key benefits include gaining an overview of personal interactions, promotional emails, urgent messages, or notes; never missing important topics with AI-driven notifications; and exploring blind spots via an interactive InfraNodus interface. It's ideal for professionals to analyze communications with specific people/companies, identify recurrent themes in sent mail, or generate ideas from topic-specific filters.

The workflow demonstrates advanced n8n nodes for email processing, data conversion, and integrations like Gmail API, AI categorization, and Telegram notifications. Trigger it manually, on schedule, or via webhook to process personal messages, promos, or AI-defined urgent emails, saving hours of manual review and providing actionable intelligence from your inbox.

$24.99
Last updated October 17, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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