Home Projects supavec
supavec
TypeScript

supavec

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.

by supavec · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
ainextjsragApache-2.0TypeScript
View on GitHub
In plain words

Build applications that use any data source for retrieval-augmented generation with an open-source platform.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
supavec — GitHub preview card
📈 Star history
1 1431 142
2026-07-202026-08-31
📈 Track supavec

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.

supavec has 1.1k stars on GitHub. It has been forked 103 times. supavec is written mainly in TypeScript. It has been in active development since 2024. supavec is available under the Apache-2.0 license. Its main topics are ai, nextjs, rag, tailwindcss.

Frequently asked questions

What is supavec?

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.

Is supavec open source?

supavec is an open-source project. It is released under the Apache-2.0 license.

Is supavec free?

Yes. supavec is free and open source — you can use, modify and self-host it.

What license does supavec use?

supavec is available under the Apache-2.0 license.

What language is supavec written in?

supavec is written mainly in TypeScript.

🏅 Maintainer of this project?
olud.ai badge — supavec

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=supavec-supavec)](https://olud.ai/project/supavec-supavec.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.