# Data Layer

AI systems increasingly draw from community platforms like Reddit and YouTube because users trust real human experiences. But for decisions involving finance, technology, or products, accuracy and verified expertise are equally essential.

Voyage solves this by building a trustworthy, structured knowledge base for AI systems. We combine community-verified contributions from experts with internally indexed, high-quality sources powered by Voyage AI agents. We build agents to reconcile sources from research papers, institutional reports, and curated on-chain data to form a continuously updated collection optimized for AI retrieval.

Contributors with strong EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) profiles can submit insights, which are validated through automated scoring and community review. The result is a continuously updated, AI-ready knowledge base that blends authenticity with reliability—ensuring that when AI answers, it cites real, trustworthy information rather than unverified content.

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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://voyage-1.gitbook.io/voyage-wiki/voyage-litepaper/data-layer.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.