Update README

Author: NoyaOffer

README.md

@@ -23,24 +23,22 @@ Choose the observability tool that fits your needs:
 
 ### Table of Contents
 
-  - [**What's Inside the Elementary dbt Package?**](#whats-inside-the-elementary-dbt-package)
+  - [What's Inside the Elementary dbt Package?](#whats-inside-the-elementary-dbt-package)
   - [Get more out of Elementary dbt package](#get-more-out-of-elementary-dbt-package)
-  - [Data Anomaly Detection \& Schema changes as dbt Tests](#data-anomaly-detection--schema-changes-as-dbt-tests)
+  - [Data Anomaly Detection & Schema changes as dbt Tests](#data-anomaly-detection--schema-changes-as-dbt-tests)
   - [Elementary Tables - Run Results and dbt Artifacts](#elementary-tables---run-results-and-dbt-artifacts)
   - [AI-powered data validation and unstructured data tests](#ai-powered-data-validation-and-unstructured-data-tests)
   - [Quickstart - dbt Package](#quickstart---dbt-package)
   - [Community & Support](#community--support)
   - [Contributions](#contributions)
 
-
 ### **What's Inside the Elementary dbt Package?**
 
 The **Elementary dbt package** is designed to enhance data observability within your dbt workflows. It includes two core components:
 
 - **Elementary Tests** – A collection of **anomaly detection tests** and other data quality checks that help identify unexpected trends, missing data, or schema changes directly within your dbt runs.
 - **Metadata & Test Results Tables** – The package automatically generates and updates **metadata tables** in your data warehouse, capturing valuable information from your dbt runs and test results. These tables act as the backbone of your **observability setup**, enabling **alerts and reports** when connected to an Elementary observability platform.
 
-
 ## Get more out of Elementary dbt package
 
 The **Elementary dbt package** helps you find anomalies in your data and build metadata tables from your dbt runs and tests—but there's even more you can do.
@@ -56,7 +54,6 @@ To generate observability reports, send alerts, and govern your data quality eff
 <a href="https://storage.googleapis.com/elementary_static/elementary_demo.html"><img align="center" style="max-width:300px;" src="https://raw.githubusercontent.com/elementary-data/elementary/master/static/report_ui.gif"> </a>
 </kbd>
 
-
 ## Data Anomaly Detection & Schema changes as dbt Tests
 
 **Elementary tests are configured and executed like native tests in your project!**
@@ -108,9 +105,6 @@ Elementary tests include:
 
 Read more about the available [Elementary tests and configuration](https://docs.elementary-data.com/data-tests/introduction).
 
-
-
-
 ## Elementary Tables - Run Results and dbt Artifacts
 
 The **Elementary dbt package** automatically stores **dbt artifacts and run results** in your data warehouse, creating structured tables that provide visibility into your dbt runs and metadata.
@@ -140,8 +134,6 @@ These tables track execution details, test outcomes, and performance metrics fro
 
 For a full breakdown of these tables, see the [documentation](https://docs.elementary-data.com/dbt/package-models).
 
-
-
 ## AI-powered data validation and unstructured data tests
 
 Elementary leverages AI to enhance data reliability with natural language test definitions:
@@ -166,7 +158,6 @@ models:
 
 Learn more in our [AI data validations documentation](https://docs.elementary-data.com/data-tests/ai-data-tests/ai_data_validations).
 
-
 ## Quickstart - dbt Package
 
 1. Add to your `packages.yml`:
@@ -195,7 +186,6 @@ models:
 
 Check out the [full documentation](https://docs.elementary-data.com/).
 
-
 ## Community & Support
 
 - [Slack](https://join.slack.com/t/elementary-community/shared_invite/zt-uehfrq2f-zXeVTtXrjYRbdE_V6xq4Rg) (Talk to us, support, etc.)