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n8n-nodes-embeddings-voyageai

v1.0.17

Published

n8n community node for Voyage AI Embeddings

Readme

n8n Voyage AI Embeddings Community Node

Developed and maintained by Jay Nguyen (Nguyễn Thiệu Toàn).

🛡️ Verified n8n Creator | 💼 CEO/Founder of GenStaff

Connect with me:
LinkedIn Facebook Website Email

This is an n8n community node that integrates Voyage AI Embeddings into the n8n AI ecosystem (LangChain). It acts as a sub-node connected to Vector Store root nodes (such as Supabase, Pinecone, Qdrant, PGVector) to generate vector representations of text queries and documents.


Features

  • Voyage 4 Models Support: Built-in options for voyage-4-large, voyage-4, voyage-4-lite, voyage-code-3, voyage-finance-2, and voyage-law-2.
  • Zero Runtime Dependencies: Conforms to the strict n8n packaging guideline, ensuring no package collision or dependency bloat in your production deployment.
  • Matryoshka Dimension Scaling: Custom dimension parameters (256, 512, 1024, 2048) to scale downstream database storage requirements.
  • Output Quantization: Encodes outputs to float, int8, uint8, binary, or ubinary representation formats.
  • Base64 Transfer Protocol: Decodes base64 payload response patterns for high-throughput network performance.
  • Contextualized Truncation: Truncates inputs safely if they exceed context lengths.

Installation

For Self-Hosted n8n Instance

In your self-hosted n8n instance directory, run:

npm install n8n-nodes-embeddings-voyageai

Or use the Community Nodes menu in your n8n settings dashboard:

  1. Go to Settings > Community Nodes.
  2. Click Install a Node.
  3. Type: n8n-nodes-embeddings-voyageai
  4. Accept and install.

Local Development & Compilation

Requirements

  • Node.js v18+ or v22+
  • pnpm or npm

Steps

  1. Clone this repository:
    git clone https://github.com/your-username/n8n-voyage-nodes-embedding.git
    cd n8n-voyage-nodes-embedding
  2. Install dependencies:
    pnpm install
  3. Build the node:
    pnpm run build
  4. Link or load it in your local dev stack.

Local Verification using Docker Compose

A compose.yaml file is provided in the repository to mount your compiled output directory directly into a local n8n instance for testing:

  1. Compile your TS files to JS:
    pnpm run build
  2. Launch n8n using Docker Compose:
    docker compose up -d
  3. Open http://localhost:5678 in your browser.
  4. Navigate to the AI Canvas, add a Vector Store, and link the Voyage AI Embeddings node!

Author


License

MIT