Effortless EV Charging Station Locator
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Instantly find EV charging stations using an AI-powered locator. This workflow leverages advanced AI to intelligently process your requests and deliver accurate location data, streamlining your electric vehicle charging experience.
About This Workflow
The EV Charging Station Locator workflow provides an intelligent and automated solution for finding electric vehicle charging points. It begins by receiving requests via a webhook, then segments the input for optimal processing. AI embeddings are generated to understand the query's intent and context. This information is then used to query a Supabase vector store, ensuring efficient retrieval of relevant charging station data. The workflow incorporates memory for conversational context and utilizes an Anthropic language model for sophisticated response generation, ultimately providing users with precise and actionable charging station information, with all interactions logged to a Google Sheet for analysis.
Key Features
- AI-Powered Search: Utilizes advanced language models for intelligent understanding of user queries.
- Real-Time Data Retrieval: Connects to a Supabase vector store for quick and accurate location data.
- Conversational Interface: Maintains context with memory for a more natural user interaction.
- Automated Logging: Records all interactions to a Google Sheet for review and analysis.
How To Use
- Configure Webhook: Set up the 'Webhook' node with the desired path (e.g.,
ev_charging_station_locator) to receive incoming requests. - Data Splitting & Embedding: The 'Splitter' and 'Embeddings' nodes automatically process incoming data. Ensure your HuggingFace API credentials are set for the 'Embeddings' node.
- Vector Store Integration: Connect to your Supabase instance by configuring the 'Insert' and 'Query' nodes with your Supabase API credentials and specifying the
ev_charging_station_locatorindex name. - AI Agent Setup: Configure the 'Memory', 'Chat' (Anthropic), and 'Agent' nodes. Provide your Anthropic API credentials and ensure the 'Agent' node is set to the correct prompt type ('define') and references the incoming JSON ($json).
- Logging: Link the 'Agent' node's output to the 'Sheet' node. Configure the 'Sheet' node with your Google Sheets API credentials and the desired Sheet ID and log sheet name (e.g., 'Log').
Apps Used
Workflow JSON
{
"id": "ed368e07-14c9-4fce-bbfe-01417c9bb2fd",
"name": "Effortless EV Charging Station Locator",
"nodes": 18,
"category": "Marketing",
"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: ed368e07-14c9...
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