---
title: "VectorHub"
type: "tool"
slug: "superlinked-vectorhub"
canonical_url: "https://www.graphcanon.com/tools/superlinked-vectorhub"
github_url: "https://github.com/superlinked/VectorHub"
homepage_url: "https://superlinked.com/examples/"
stars: 524
forks: 133
primary_language: "Jupyter Notebook"
license: "Other"
categories: ["vector-databases", "data-retrieval", "developer-tools"]
tags: ["llmops", "ml", "vector-database", "ai", "embedding", "ocr", "mlops", "vector-search"]
updated_at: "2026-07-07T20:17:38.675444+00:00"
---

# VectorHub

> VectorHub: A Learning Hub for Vector Retrieval in ML

A deprecated repository that was previously a learning hub for integrating vector retrieval into machine learning workflows, now focusing on SIE, an inference engine.

## Facts

- Repository: https://github.com/superlinked/VectorHub
- Homepage: https://superlinked.com/examples/
- Stars: 524 · Forks: 133 · Open issues: 5 · Watchers: 9
- Primary language: Jupyter Notebook
- License: Other
- Last pushed: 2026-07-06T09:22:56+00:00

## Categories

- [Vector Databases](/categories/vector-databases.md)
- [Data & Retrieval](/categories/data-retrieval.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

llmops, ml, vector-database, ai, embedding, ocr, mlops, vector-search

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## README (excerpt)

```text
[![CC BY-NC-SA 4.0][cc-by-nc-sa-shield]][cc-by-nc-sa]

# VectorHub

[VectorHub](https://www.superlinked.com/vectorhub) is a free and open-sourced learning hub for people interested in adding vector retrieval to their ML stack. On VectorHub you will find practical resources to help you -

* Create MVPs with easy-to-follow learning materials
* Solve use case specific challenges in vector retrieval
* Get confident in taking their MVPs to production and making them actually useful
* Learn about vendors in the space and select the ones that fit their use-case

Read more about our philosophy in our [Manifesto](manifesto.md).

## Tools by VectorHub
[Vector DB Comparison](https://www.superlinked.com/vector-db-comparison) is a free and open source tool from VectorHub to compare vector databases. It is created to outline the feature sets of different VDB solutions. Each of the features outlined has been verified to varying degrees.


## Contributing

Please read [CONTRIBUTING.md](https://www.superlinked.com/vectorhub/contributing) for details on our code of conduct, and the process for submitting pull requests to us.

## License
This work is licensed under a
[Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa].

[![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa]

[cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/
[cc-by-nc-sa-image]: https://licensebuttons.net/l/by-nc-sa/4.0/88x31.png
[cc-by-nc-sa-shield]: https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey.svg
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/superlinked-vectorhub`](/api/graphcanon/tools/superlinked-vectorhub)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_