Automate KNN Image Classification with Qdrant and Voyage AI

This workflow automates the classification of images using the k-nearest neighbors (KNN) algorithm. It leverages Qdrant for vector database management and Voyage AI for embedding generation, providing a robust solution for image classification tasks.

This workflow is designed to classify images based on a pre-uploaded dataset in Qdrant. It starts by receiving an image URL, which is then processed through the Voyage AI Multimodal Embeddings API to obtain an embedding vector. This vector is used to query Qdrant for similar images, and a majority voting mechanism determines the most likely class of the input image. In case of a tie, the workflow dynamically adjusts the number of neighbors considered until a clear classification is achieved or a
Platform
n8n
Category
AI & Machine Learning
Price
$14.99
Creator
Lily Zhang

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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