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

# SQLite

> SQLite is an embedded database. Unlike others, it does not run as a service but as a file.

## **Security & Architecture Overview**

Before connecting your data, it is critical to understand how MyQuery interacts with your infrastructure:

* **Schema-Only Access:** MyQuery does **not** ingest or store your raw database records. We only read the metadata (table names, column types, and foreign key relationships) to build a semantic map for the AI.
* **Encrypted Storage:** All connection credentials and "maps" are encrypted at rest using industry-standard AES-256 encryption.
* **Whitelisting:** To allow MyQuery to reach your database, you must whitelist our outbound IP addresses in your firewall or cloud security groups (e.g., AWS Security Groups, Azure Firewall).

### **Connection Method: File Upload**

* **Step 1:** Click the **Upload File** button.
* **Step 2:** Select your

  ```
  .sqlite
  ```

  or

  ```
  .db
  ```

  file.
* **Process:** MyQuery creates a secure, temporary virtual volume to read the schema of the file. Once the schema is indexed, the file logic is maintained for query execution during your session.