# VES

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Vanguard Embedding Solutions is an infrastructural tool designed to simplify the work of developers in the field of artificial intelligence. VES enables the easy creation and management of vector databases, which is critical for developing AI agents.

Our API provides decentralized data storage, enhanced security through advanced cryptography, and powerful integration capabilities for efficient vector search and data analysis.

With VES, developers can create complex AI applications more quickly and reliably, saving time and resources.

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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://vanguard-embedding-solutions.gitbook.io/ves/basic-information/ves.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.