# 2.1 Accessing Orbit Insight

The platform is accessed via link: insight.orbitfin.ai

<figure><img src="/files/RWF0QGupVhkmq1wd7Gly" alt=""><figcaption></figcaption></figure>

For Lite and Plus tiers, user can self register with their emails or Google SSO. For Professional and Enterprise tiers user will be provided with allocated username and default password, and then they can reset passwords on platform.

## Orbit's integration with LLMs

The Large Language Models (LLMs) are integrated in the system on the extraction layer over Orbit's data layer. LLMs are responsible for intelligently extracting information out of the data that is curated and searched by Orbit.&#x20;

Currently the production environment connects with OpenAI's GPT 4o model.

<figure><img src="/files/u0yX6bvHLPi0T5AP5lii" alt=""><figcaption></figcaption></figure>

## Product Walkthrough (in English)

{% embed url="<https://youtu.be/rOVX_mko4SI>" %}

## Product Walkthrough (in Mandarin)

{% embed url="<https://youtu.be/W8lnkJJs1D0>" %}


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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://docs.orbitfin.ai/2.-orbit-insight/editor.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.