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Storage You Can Trust. Built For The AI Era.

Storage You Can Trust. Built For The AI Era.

Marjorie Doucet

Feature-Rich & Time Saving

So you're building something cool with AI — maybe it's a decentralized agent, maybe it's a compute marketplace, or maybe it's just a side project that's gotten out of hand (we see you). Either way, you’ve probably realized that your app needs a brain. Not just any brain — a brain that can understand your content.

That’s where Pinata comes in.

Native Vector Storage. No Add-Ons Needed.

Vector storage turns your files into numbers (aka embeddings) that AI can reason over. You can ask questions, run semantic search, or build memory into your tools.

That’s why Pinata baked it in directly with Private IPFS, making those vectors immutable and verifiable. No black boxes. No bottlenecks.

And combining the two? That’s the good stuff. That’s Pinata Vector Storage.


The Frustration Is Real

If you’ve tried building AI infra, you’ve probably hit some of these:

You’ve had to stitch together a million libraries just to store some of your vector embeddings. You’ve spent way too long waiting on semantic search. You’ve probably wondered where your embeddings even live. And eventually, you’ve realized your "decentralized AI app" is relying on four centralized services.

We felt the same pain. So we fixed it.

Vectorization At Upload — It Just Works

We made it stupid simple:

You upload your files. We chunk them up. We embed the chunks. We store everything on IPFS. You query when you want, how you want.

No need to run your own vector DB. No need to figure out chunking or deal with weird token limits. Just upload and go.

And because it's all on Private IPFS, it's blockchain agnostic. Use it with any chain, stack, or ecosystem. No lock-in. No assumptions.

For AI Builders Who Work Across Chains, Nodes, and Chaos

You’re building agents. Markets. Infra. Stuff that runs across chains, compute nodes, and weird experimental pipelines. Your tools need to be flexible.

That’s why our vector storage is IPFS-native, so your data’s not going anywhere. It only works with text files — JSON, markdown, txt, etc. It’s interoperable by default — just call our API and go. It’s blockchain agnostic, so it works with your stack, whatever it is.

And it’s fast. Like, surprisingly fast.

Build What You Want. Store What You Need.

You shouldn’t need a whole team just to get semantic memory working.

With Pinata, you can build AI features on top of your content in minutes. You can give agents a memory that actually works. You can stop worrying about where your data lives.

Everything’s content-addressed. Everything’s stored on IPFS. Everything just works.

If you’re building anything with decentralized AI, we’d love to see what you’re cooking.

We made vector storage on upload. Wanna try it?

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