> For the complete documentation index, see [llms.txt](https://lumore-ai.gitbook.io/lumore.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lumore-ai.gitbook.io/lumore.ai/lumore/data-flow.md).
# Data flow
{% hint style="success" %}
**TL;DR:**\
Lumore’s infrastructure is designed for speed, efficiency, and global accessibility. Using serverless and cloud-based solutions, we deliver fast, secure mental health support with minimal latency (under 300ms for most users). Our servers are strategically located across Europe, the US, and Asia, ensuring reliable service and a seamless experience for users worldwide.
{% endhint %}
At Lumore, we've designed our infrastructure to be both powerful and streamlined, ensuring a seamless experience for users while maintaining high levels of efficiency. The process of sending and receiving data is simple yet robust, allowing us to quickly respond to user needs while optimizing performance. Here’s how it works:
This setup ensures that Lumore can quickly and reliably deliver support while maintaining scalability and flexibility. By using a combination of serverless and cloud-based solutions, our infrastructure is optimized for speed, security, and environmental efficiency, allowing us to focus on what matters most—providing top-tier mental health assistance to users around the world.
We understand the importance of delivering fast, responsive service to users, no matter where they are in the world. To ensure the best possible experience, we’ve strategically deployed our servers across multiple regions: **Europe, the US, and Asia**. This global infrastructure allows us to minimize latency and provide consistent, high-quality support to users across different time zones and geographies.
By distributing our servers globally, we are able to ensure that **response times stay under 300ms** (excluding EC2 computational times) for the vast majority of users, regardless of their location. Whether you’re connecting from Europe, North America, or Asia, you can expect a seamless and fast experience, with minimal delay in communication between your device and our servers.
This approach not only helps us maintain high performance and reliability but also ensures that Lumore remains accessible and responsive to users around the globe, making mental health support available anytime, anywhere.
For guidance on interacting with and integrating the Lumore chat assistant, refer to:
{% content-ref url="/pages/e9ZWX0DNQ22wJTCZjyW7" %}
[OpenAPI](/lumore.ai/lumore/openapi.md)
{% endcontent-ref %}
---
# 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:
```
GET https://lumore-ai.gitbook.io/lumore.ai/lumore/data-flow.md?ask=
```
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.