> ## 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.

# Elasticsearch

> My Query AI maps Elasticsearch indices as searchable tables, allowing AI to query document-based data.

## **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).

### **Method A: Basic Auth**

* **Node URL:** e.g.,

  ```
  http://localhost:9200
  ```

  .
* **Username/Password:** Standard Elastic credentials.

### **Method B: Elastic Cloud (Cloud ID)**

* **Cloud ID:** The unique string from your Elastic Cloud dashboard.
* **API Key:** Recommended over passwords for cloud deployments.
  * *Format:*

    ```
    id:secret
    ```

    .