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

# Why ELNA

### The World Needs Decentralized AI

Decentralizing AI is aimed at democratizing access to AI, beyond the confines of large, centralized entities. This helps mitigate risks related to data privacy, bias, and control, facilitating a more collaborative and inclusive ecosystem where developers and users can contribute to and benefit from AI advancements. This democratization is crucial for fostering global innovation, enhancing trust in AI systems, and ensuring that AI operates in the public interest, leading to more equitable and sustainable technological progress.

### Best Way to Decentralize AI is - Blockchain

Running AI on the blockchain is the best way to do it, since it's a secure, immutable, and transparent environment for deploying AI applications, ensuring that operations are verifiable and tamper-proof. This integration not only enhances the trustworthiness of AI solutions but also opens up new avenues for creating decentralized applications (DApps) that are intelligent, responsive, and highly secure. 

### AI on Blockchain- Possible only if a Platform offers Infrastructure 

This is ELNA. The platform that offers the essential infrastructure required to orchestrate AI tools and models on the blockchain. This comprehensive ecosystem includes an on-chain prompt engine, a vector database, and seamless integration with both on-chain and off-chain large language model (LLM) inference engines, as well as integration tools to interface the agent with external applications.

<br>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.elna.ai/elna-whitepaper/why-elna.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.