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 🙏

© 2024 – Pkg Stats / Ryan Hefner

closevector-node

v0.1.6

Published

CloseVector is fundamentally a vector database. We have made dedicated libraries available for both browsers and node.js, aiming for easy integration no matter your platform. One feature we've been working on is its potential for scalability. Instead of b

Downloads

1,751

Readme

What is CloseVector?

CloseVector is fundamentally a vector database. We have made dedicated libraries available for both browsers and node.js, aiming for easy integration no matter your platform. One feature we've been working on is its potential for scalability. Instead of being bound by server limitations, CloseVector's vector index operates directly on the user's machine, aiming for more efficient performance.

The foundation of CloseVector is built on the HNSW algorithm. We've integrated the hnswlib to ensure compatibility across various platforms, from browsers to node.js. We're continuously looking to enhance and expand the capabilities of CloseVector.

How it works

CloseVector is built on hnswlib to compile it as a WASM and Node.js module. The WASM module is then loaded into the browser using WebAssembly. Since the original C code of hnswlib is not compatible with Emscripten and Node-Gyp (the files cannot be loaded interchangeably), we had to make some changes to the original code to make it work.

Starting with CloseVector

For those interested, we've put together a tutorial. This guide provides a step-by-step overview on using closevector-node for text embeddings and vector storage. Some of the tutorial highlights include:

  • How to install closevector-node using npm.
  • Generating your first access key for authentication.
  • TypeScript code samples for various tasks.
  • An overview of fetching Hacker News stories, formatting them, and initializing a vector store.
  • Creating an index.

You can access the detailed tutorial here.

Demo and Source Code

To provide a glimpse of CloseVector in action, we have a demo. This integrates closevector-web, closevector-node, and docusaurus to create a document website using CloseVector's capabilities.

The demo includes:

  1. Injecting a document into the CloseVector index using closevector-node.
  2. Experiencing the search function with closevector-web.

If you're keen to see the behind-the-scenes, the source code for this demo is available at closevector-doc. You can also interact with the demo by using the search button on the top right.