> For the complete documentation index, see [llms.txt](https://docs.rivalz.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rivalz.ai/ocy-data.md).

# 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.

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