Automated Renewable Incentive Tracker with AI
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This workflow automates the tracking of renewable energy incentives. It utilizes a Webhook to receive data, splits and embeds it using Langchain nodes, stores it in Pinecone, and then queries it with an AI agent to log insights into Google Sheets.
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About This Workflow
Overview
This n8n workflow, named 'Renewable Incentive Tracker', is designed to automate the process of gathering, processing, and tracking information related to renewable energy incentives. It leverages AI and vector database capabilities to efficiently manage and query incentive data. The workflow starts with a webhook to receive new incentive data, which is then processed through text splitting and embedding using Langchain. The embedded data is stored in a Pinecone vector database for efficient retrieval. An AI agent, powered by Anthropic's language model, is then used to query this data and provide relevant insights. Finally, the output of the agent is logged into a Google Sheet for easy access and further analysis.
This workflow is particularly useful for organizations or individuals involved in renewable energy projects who need to stay updated on various incentive programs, eligibility criteria, and application processes. By automating this data management, it saves significant time and effort, ensuring that no crucial information is missed.
Key Features
- Webhook Integration: Accepts incoming data automatically to trigger the incentive tracking process.
- AI-Powered Data Processing: Utilizes Langchain's text splitter and embedding nodes for efficient data preparation.
- Vector Database Storage: Stores processed data in Pinecone for fast and scalable semantic search.
- Intelligent Querying: Employs an AI agent with memory and a language model to understand and respond to queries about incentives.
- Automated Logging: Records processed information and agent outputs directly into a Google Sheet.
How To Use
- Set up the Webhook: Configure the 'Webhook' node to receive incoming incentive data. Ensure the
pathis unique for this workflow. - Configure Langchain Nodes: Adjust the
chunkSizeandchunkOverlapin the 'Splitter' node as needed. Select your preferred embedding model in the 'Embeddings' node and ensure your HuggingFace credentials are set up. - Set up Pinecone: Configure the 'Insert' and 'Query' nodes with your specific
indexNamein Pinecone. Ensure your Pinecone API credentials are correctly configured. - Configure AI Agent: Set up the 'Chat' node with your preferred AI model (e.g., Anthropic) and ensure your Anthropic API credentials are provided. Configure the 'Agent' node, especially the
textparameter to define how the AI should process inputs, and ensure it has access to the 'Tool' and 'Memory' nodes. - Set up Google Sheets: Configure the 'Sheet' node with your Google Sheets credentials and specify the
documentIdandsheetNamewhere you want to log the output. - Connect Nodes: Ensure all nodes are connected according to the workflow's logic, passing data from one to the next.
- Activate the Workflow: Once configured, activate the workflow to start automatically tracking renewable energy incentives.
Apps Used
Workflow JSON
{
"id": "3f227190-60fc-4f50-9310-725f9fd3d217",
"name": "Automated Renewable Incentive Tracker with AI",
"nodes": 0,
"category": "Energy Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 3f227190-60fc...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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