Automate ADAS Event Annotation with n8n and Langchain
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This n8n workflow automates the annotation of Advanced Driver-Assistance Systems (ADAS) events. It uses Langchain nodes to process data, generate embeddings, and store them in a vector database for efficient retrieval and analysis.
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About This Workflow
Overview
This workflow is designed to streamline the annotation process for ADAS events. It leverages the power of n8n's automation capabilities combined with Langchain's advanced NLP features. The process begins with a Webhook receiving incoming ADAS event data. This data is then processed by a Text Splitter node to prepare it for embedding. Cohere Embeddings generate vector representations of the text, which are then inserted into a Supabase vector database using the Vector Store Insert node. For retrieval and analysis, a Query node fetches relevant data from Supabase, which is then processed by a Langchain Agent. The Agent utilizes tools and memory to understand and act upon the ADAS event information. Finally, the results are logged to a Google Sheet for further review and action. This workflow solves the problem of manual and time-consuming ADAS event annotation by providing an automated, scalable, and data-driven solution.
Key Features
- Automated ingestion of ADAS event data via Webhook.
- Advanced text splitting for efficient data processing.
- Generation of vector embeddings using Cohere for semantic understanding.
- Storage and retrieval of data in a Supabase vector database.
- Intelligent querying and analysis powered by Langchain Agents.
- Seamless logging of results to Google Sheets.
How To Use
- Set up a Webhook node to receive your ADAS event data.
- Configure the Text Splitter node to appropriately chunk your incoming data.
- Connect to your Cohere API credentials for the Embeddings node.
- Set up your Supabase connection for both the Insert and Query vector store nodes, specifying your index name.
- Configure the Langchain Agent with appropriate tools and memory settings.
- Connect your Google Sheets credentials and specify the Sheet ID and Log sheet name for the Sheet node.
Apps Used
Workflow JSON
{
"id": "f7bb5775-bbe4-4e2c-85b6-535341ad3aff",
"name": "Automate ADAS Event Annotation with n8n and Langchain",
"nodes": 0,
"category": "Automotive & AI",
"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: f7bb5775-bbe4...
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