# General Information

<figure><img src="/files/CQr8NGpo1pt4FkhLE46w" alt=""><figcaption></figcaption></figure>

## Overview

Cloud4.ai offers a diverse range of services that form the foundation for executing various processes. These services are grouped based on their usage principles, catering to different needs within AI applications. Here are the main service groups:

### **Execution Services**&#x20;

(e.g., [AAC](/services/aac-ai-api-connector/aac-commands.md), [AIL](/services/ail-ai-lambda.md), [API Schemas](/services/api-schema.md))

These services facilitate interactions with external systems or AI providers, enabling data retrieval and processing. They are instrumental in executing commands and operations within the system.

### **Data Services**&#x20;

(e.g., [KDB](/services/kdb-knowledgebase.md), [CDB](/services/cdb-context-data-storage.md), [CSS](/services/css-credentials-store.md))

Responsible for data management, storage, and analytics, these services support functions such as data collection, storage, and analysis. They provide capabilities for managing contextual data, storing credentials, and performing analytical tasks.

### **Common Services**&#x20;

(e.g., [Files](/services/files.md), [SJS](/services/sjs-scheduled-job-service.md))

Designed to streamline application development processes, common services offer functionalities that aid in various operations. These services are useful for tasks like file management and script execution, contributing to efficiency and productivity.

Each service comes with its unique configurations, commands, and functionalities, providing users with a versatile toolkit to build tailored AI solutions and applications.


---

# 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.cloud4.ai/services/general-information.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.
