Automated EV Charging Station Locator with AI and Vector Search
detail.loadingPreview
This n8n workflow automates the process of locating EV charging stations using AI-powered tools and vector database search. It leverages LangChain nodes for agentic behavior, memory, and vector store interactions, with a webhook trigger and Google Sheets logging.
🚀Ready to Deploy This Workflow?
About This Workflow
Overview
This n8n workflow is designed to act as an intelligent EV charging station locator. It starts with a webhook that receives a query, processes it through LangChain components for natural language understanding and retrieval, and ultimately provides relevant charging station information. The workflow utilizes a vector store (Supabase) to efficiently search for the most relevant charging station data based on the user's query. The use of an Agent allows for complex reasoning and tool utilization, including a vector store tool for data retrieval and memory to maintain conversation context. Finally, results are logged to a Google Sheet for auditing and analysis.
Key Features
- Dynamic EV charging station lookup via webhook.
- AI-powered natural language understanding and query processing using LangChain.
- Efficient data retrieval from a vector store (Supabase).
- Conversational memory to maintain context.
- Agentic capabilities for intelligent decision-making.
- Logging of interactions and results to Google Sheets.
How To Use
- Set up Webhook: Trigger the workflow by sending a POST request to the configured webhook URL with your query in the request body.
- Configure LangChain Nodes: Ensure your LangChain nodes (Embeddings, Vector Store, Agent, Chat) are properly configured with your API keys and model preferences.
- Set up Supabase: Create a Supabase project, set up a vector table, and configure the 'Insert' and 'Query' nodes with your Supabase credentials and index name.
- Integrate Google Sheets: Connect your Google account and specify the Sheet ID and Sheet Name in the 'Sheet' node for logging.
- Deploy and Test: Deploy the workflow and test it by sending queries to the webhook URL.
Apps Used
Workflow JSON
{
"id": "110e067e-c1ce-44fc-84e9-40b73edac046",
"name": "Automated EV Charging Station Locator with AI and Vector Search",
"nodes": 0,
"category": "AI & 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.
Get This Workflow
ID: 110e067e-c1ce...
About the Author
N8N_Community_Pick
Curator
Hand-picked high quality workflows from the global community.
Statistics
Verification Info
Related Workflows
Discover more workflows you might like
Discord Agent for Structured Metadata Generation
An n8n workflow that uses an AI agent to generate structured metadata in both English and Chinese for Discord.
AI Agent for Top n8n Creators Leaderboard Reporting
This workflow automates the generation of a comprehensive report on top n8n creators and their popular workflows, leveraging AI for analysis and LLMs for content creation.
AI Supervisor Ava for Multi-Language Workflow Orchestration
An AI supervisor workflow that orchestrates various tools and generates structured metadata in multiple languages.