vectorx

Custom n8n node for working with VectorX database (upsert and similarity search)

Package Information

Downloads: 1 weekly / 6 monthly
Latest Version: 0.1.1
Author: owais

Available Nodes

VectorX
Work with VectorX: upsert and similarity search

Documentation

n8n-nodes-vectorx

This is an n8n community node. It lets you use VectorX in your n8n workflows.

VectorX is a fast, developer-friendly vector database. It allows you to store embeddings, perform similarity searches, and manage indexes for AI-powered applications.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Credentials
Compatibility
Usage

Installation

Follow the installation guide in the n8n community nodes documentation.

To install manually:

cd ~/.n8n/custom
git clone https://github.com/owais0604/n8n-nodes-vectorx.git
cd n8n-nodes-vectorx
npm install
npm run build
n8n start

Operations

The VectorX node supports the following operations:

  • Upsert – Insert or update vectors in a VectorX index.
  • Similarity Search – Find the most similar vectors for a given embedding.

Credentials

To use the VectorX node, you need:

  • API Key – Your VectorX API token.
  • Index Name – The index where vectors will be stored or queried.

Setup steps

  1. Sign up for VectorX and generate an API key.
  2. Create or configure an index in VectorX.
  3. In n8n, add VectorX API credentials with your API key and index name.

Compatibility

  • Minimum n8n version: 1.0.0
  • Tested with Node.js: >=20.19 <=24.x
  • No known incompatibility issues at this time.

Usage

  • Use the OpenAI Embeddings node (or another embedding generator) to convert text into embeddings.
  • Pass the embeddings into the VectorX node.
  • Choose the operation:
    • Upsert → Store vectors in your VectorX index.
    • Similarity Search → Retrieve nearest neighbors for a query embedding.

Discussion