npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

n8n-nodes-hackclub-embedding

v1.0.2

Published

Hackclub embeddings for n8n AI

Vulnerabilities

Powered byPowered by Snyk
  • 0High
  • 0Medium
  • 0Low

Links

Git

Maintainers

abdessattar23abdessattar23

Keywords

n8n-community-node-packagen8nhackclubembeddingsai

Readme

n8n-nodes-hackclub-embedding

This is an n8n community node. It lets you use Hackclub AI embeddings in your n8n workflows.

Hackclub AI is a free AI service that provides access to various embedding models for generating vector embeddings from text. These embeddings can be used for semantic search, clustering, or storing in vector databases like Pinecone or pgvector.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Credentials
Compatibility
Resources

Installation

Follow the installation guide in the n8n community nodes documentation.

Operations

This node provides embedding generation capabilities:

  • Generate Embeddings: Convert text into vector embeddings using Hackclub AI's embedding models
  • Batch Processing: Automatically batches large amounts of text for efficient processing
  • Model Selection: Choose from available embedding models dynamically loaded from the API

Credentials

To use this node, you need:

  1. A Hackclub AI account - Sign up at Hackclub AI
  2. An API key from your Hackclub AI dashboard

Setting up credentials in n8n:

  1. In n8n, go to Credentials → New
  2. Search for "Hackclub Embedding API"
  3. Enter your API key
  4. (Optional) Customize the API URL if using a different endpoint
  5. Click Test to verify the connection
  6. Save the credentials

Compatibility

  • Minimum n8n version: 1.0.0
  • Tested with n8n version: 1.x
  • Compatible with n8n AI nodes and LangChain integration

Usage

  1. Add the Hackclub Embedding node to your workflow
  2. Connect your Hackclub Embedding API credentials
  3. Select an embedding model from the dropdown
  4. Configure options:
    • Batch Size: Maximum documents per request (default: 512, max: 2048)
    • Strip New Lines: Whether to remove line breaks from input text (default: true)
  5. Connect the output to n8n AI nodes like Vector Store, Retriever, or other LangChain components

Use Cases

  • Building semantic search functionality
  • Creating chatbots with context awareness
  • Clustering similar documents
  • Recommendation systems
  • Content similarity detection

Resources

Version history

0.1.1

  • Fixed models endpoint to use /embeddings/models instead of /models
  • Implemented stripNewLines functionality
  • Updated credentials test endpoint
  • Improved documentation