Unlocking Multi-Modal AI: Google Gemini Image & PDF Analysis
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This n8n workflow demonstrates the powerful multi-modal capabilities of Google Gemini, allowing you to seamlessly analyze content from both images and PDF documents. Automate insights extraction, generate descriptions, and streamline document processing with advanced AI.
About This Workflow
Dive into the future of content analysis with this comprehensive n8n workflow. It showcases various methods to integrate Google Gemini, from direct API calls for granular control over image and PDF analysis, to leveraging the sophisticated Langchain AI Agent for more complex, conversational AI tasks. Whether you need to understand what's in an image, extract data from a document, or generate intelligent descriptions, this workflow provides a robust foundation. It handles fetching assets, transforming them for Gemini's API, and processing the results, making advanced multi-modal AI accessible and automatable.
Key Features
- Multi-Modal AI: Seamlessly analyze visual content from images (JPG) and textual information from PDF documents using Google Gemini.
- Flexible Integration: Utilize both direct HTTP requests for precise API interaction and n8n's Langchain AI Agent for abstracted, powerful AI operations.
- Automated Content Fetching: Automatically retrieve images from external sources like Unsplash and PDF files for analysis.
- Binary Data Handling: Efficiently transforms binary image and PDF data into the Base64 format required for Gemini's API.
- Batch Processing (Images): Capable of processing multiple image URLs in a structured loop, enhancing scalability for visual content analysis.
How To Use
- Set Up Credentials: Ensure you have configured your Google Gemini (PaLM) API and Query Gemini Auth credentials in n8n.
- Configure Image/PDF Sources: Modify the
httpRequestnodes (Get image from unsplash,Get PDF file, etc.) to point to your specific image URLs or PDF file paths. - Customize AI Prompts: Adjust the "text" parameter in the
Call Gemini APInodes (e.g., "Whats on this image?", "Whats on this pdf?") or theAI Agentnodes to define your specific analysis task. - Process Results: Connect subsequent nodes to handle Gemini's responses, such as storing extracted data in a database, generating reports, or sending notifications.
- Explore Langchain Agent: Experiment with the
AI Agentnodes to build more complex AI chains and incorporate external tools for richer interactions.
Apps Used
Workflow JSON
{
"id": "496a64e6-930e-4eec-a32a-e5a9f02b2ef6",
"name": "Unlocking Multi-Modal AI: Google Gemini Image & PDF Analysis",
"nodes": 24,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 496a64e6-930e...
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