> ## Documentation Index
> Fetch the complete documentation index at: https://developers.explorium.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# GPT Guidelines

## <Icon icon="mountain-sun" size={24} /> Flow

<Steps>
  <Step>
    Start of with the prompt template. The prompt template should include:

    1. The signals you want to extract
    2. The data-context the model should use to extract data. (This will be done using functions)
  </Step>

  <Step>
    After you have the prompt fill in signals.

    1. For each signal you need to fill in:
       1. Name - Will be the signal name
       2. Description - Explain the model exactly how to compute this step.
       3. Type - Boolean / String.
  </Step>

  <Step>
    Run
  </Step>
</Steps>

## <Icon icon="snake" size={24} /> Functions

In order to add data context to the prompt we use functions. Functions are executed and added to the prompt prior to sending the prompt to the model.

### Supported functions

#### Search

Parameters: query
Description: Performs a Google search using the query string parameter and returns the results.

Here is an example where we might wand to add context regarding company's layoff:

```bash theme={null}
Here is some relevant context:
Company website:
{{Search(query=record['Webiste'] + ' layoffs')}}
```

#### ReadUrlText

```bash theme={null}
ReadUrlText(link): Retrieves and returns the text content from a webpage given its link.

## Example
Assuming dataset as a column named domain

Company search results:
{{ReadUrlText(link=record['domain'])}}
```

#### LinkedinSearch

```bash theme={null}
SearchLinkedin(query): Searches for specific entities (such as profiles or companies) on
LinkedIn based on the query.

Linkedin search results:
{{SearchLinkedin(query=record['domain'] + ' ceo')}}
```

#### GetCompanyContacts

```bash theme={null}
GetCompanyContacts(domain, job_titles, skills): Extracts and returns the contact information
of a company specified by domain, filtered by job_titles and skills.
```

#### LinkQuestionAnswering

```bash theme={null}
LinkQuestionAnswering(link, question): Analyzes a question, maps it to
a data model within the webpage at the provided url, and retrieves the answer.
```

#### SearchForNaicsCodes

```bash theme={null}
SearchForNaicsCodes(query, naics_code_level: Optional):
Searches for NAICS codes based on provided query (e.g., “cloud security”, “clothing ecommerce”).
```