Upload crop images from GCS to Qdrant with Voyage AI…

This workflow enables fast preparation of visual data for computer vision tasks such as plant classification and anomaly detection. It automatically retrieves images from Google Cloud Storage, generates their vector representations using Voyage AI, and stores them in Qdrant with metadata for similarity-based retrieval.

## Who it´s for
- Machine learning specialists working with visual data
- Data engineers building pipelines for vector databases
- Developers creating image-based anomaly detection systems
- Agri-tech startups using computer vision for crop analysis

## What the automation does
- Starts manually and checks for an existing Qdrant collection
- Creates a new collection with a payload index on `crop_name` if needed
- Fetches agricultural crop images from Google Cloud Storage
- Filters out specific classes (e.g., tomatoes)
- Splits the dataset into batches for efficient processing
- Generates multimodal embeddings via Voyage AI API
- Bulk-uploads vectors and metadata to Qdrant

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic
- Integrations with Google Cloud Storage, Qdrant Cloud, and Voyage AI API
- Basic textual guide for launch and adaptation

## Requirements for setup
- Google Cloud account with access to GCS
- Access to Qdrant Cloud (or self-hosted/cloud instance)
- Voyage AI API key
- Self-hosted or cloud n8n instance

## Benefits and outcomes
- Automates repetitive image upload and embedding generation
- Prepares data for KNN search and classification models
- Enables exclusion of specific classes before training (e.g., anomaly testing)
- Scalable batch processing for large datasets
- Saves time when updating vector databases
- Compatible with downstream tasks: similarity search, anomaly detection

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.