ElenaAI: Intelligent Automation Powered by AI and Redis
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ElenaAI is a sophisticated n8n workflow designed to leverage the power of AI and efficient data management. It integrates with OpenAI, Redis, and Supabase to build intelligent automation sequences for various tasks.
About This Workflow
The ElenaAI workflow orchestrates a series of advanced operations, commencing with global variable setup and conditional logic based on Supabase interactions. It intelligently processes data through OpenAI models for sophisticated text and media generation, utilizing Redis for fast data caching and retrieval. The workflow includes mechanisms for handling different response types (text, image, PDF, video), converting data into files, and routing it effectively. Advanced features like 'Loop Over Items' and conditional branching with 'If' and 'Switch' nodes enable dynamic and adaptive automation. This workflow is ideal for complex projects requiring intelligent decision-making and high-speed data processing.
Key Features
- AI-Powered Content Generation: Utilizes OpenAI models for advanced text and potentially other media generation.
- Efficient Data Caching: Leverages Redis for high-speed data storage and retrieval, optimizing workflow performance.
- Conditional Logic & Routing: Implements 'If' and 'Switch' nodes for intelligent decision-making and dynamic workflow paths.
- Multi-Format Response Handling: Designed to process and respond to various data formats including text, images, PDFs, and videos.
- Database Integration: Connects with Supabase for data persistence and retrieval, enabling stateful operations.
How To Use
- Configure Global Variables: Set up initial parameters and environment variables in the 'Variáveis Globais' node.
- Integrate with Supabase: Connect your Supabase project in the 'Supabase1' node for data operations.
- Define AI Prompts: Configure the 'OpenAI' and 'OpenAI Chat Model' nodes with your desired prompts and AI model settings.
- Set up Redis Connection: Ensure your Redis instance is properly configured in the 'Redis' nodes for caching and data management.
- Implement Conditional Logic: Utilize 'If' and 'Switch' nodes to create decision points based on data retrieved or generated.
- Handle Responses: Configure 'httpRequest' nodes (e.g., 'Responde texto', 'Responde imagem') to send processed data or trigger external actions.
- Data Transformation: Use 'Edit Fields' and 'Convert to File' nodes to format and prepare data for subsequent steps.
- Looping and Batching: Employ 'Split Out' and 'Loop Over Items' for processing multiple data points efficiently.
Apps Used
Workflow JSON
{
"id": "3b63f59b-8a7a-491d-9350-55a45b5290ef",
"name": "ElenaAI: Intelligent Automation Powered by AI and Redis",
"nodes": 13,
"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: 3b63f59b-8a7a...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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