# OCY - DATA

Rivalz OCY v1 is Live and available to Developers. Head over to the Developer portal for more information.

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Rivalz Storage is a cutting-edge distributed vector storage service, that allows users to securely store and access data from any location on the internet. Utilizing advanced decentralization, peer-to-peer (P2P) networking, artificial intelligence, and blockchain technology, Rivalz delivers a scalable, cost-efficient, and resilient solution for cloud-based vector storage.

In addition to its powerful storage capabilities, Rivalz offers an advanced AI platform that extracts valuable knowledge from your documents. We provide an easy-to-use API that allows you to vectorize your documents and integrate them into an AI model, creating a customized "[knowledge base](https://worldhackathon.rivalz.ai/developer-guides-short-version/ocy-ai-data-storage-and-rag/knowledge-base)" tailored specifically to your application’s needs.

> What is Document Vectorization?
>
> Document vectorization is the process of converting a document into a numerical vector representation. The resulting vector is a mathematical representation of the document’s structure and meaning, making it useful for various tasks such as classification, clustering, and similarity search.

<figure><img src="/files/r8RrOyxyc1EUMPDLryrE" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rivalz.ai/ocy-data.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
