Update README

Author: NoyaOffer

README.md

@@ -47,7 +47,7 @@ The **Elementary dbt package** helps you find anomalies in your data and build m
 To generate observability reports, send alerts, and govern your data quality effectively, connect your dbt package to one of the following options:
 
 - **Elementary OSS**
-    - An open-source CLI tool you can **deploy and orchestrate to send alerts** and **self-host the Elementary report**. Best for data and analytics engineers that require basic observability capabilities or for evaluating features without vendor approval. Quickstart [here](https://docs.elementary-data.com/oss/quickstart/quickstart-cli), and our team and community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.
+- **A self-hosted, open-source CLI** that integrates seamlessly with your dbt project and the Elementary dbt package. It **enables alerting and provides the basic Elementary data observability report**, offering a comprehensive view of your dbt runs, all dbt test results, data lineage, and test coverage. It’s ideal for small teams of data and/or analytics engineers seeking a straightforward, non-collaborative setup for data observability. Quickstart [here](https://docs.elementary-data.com/oss/quickstart/quickstart-cli), and our team and community can provide great support on [Slack](https://www.elementary-data.com/community) if needed.
 - **Elementary Cloud**
     - A **fully managed, enterprise-ready** solution designed for **scalability and automation**. It offers automated **ML-powered anomaly detection**, flexible **data discovery**, an integrated **incident management system**, and **collaboration features.** Delivering **high value with minimal setup and infrastructure maintenance**, it's ideal for teams looking to enhance data reliability without operational overhead. To learn more, [book a demo](https://cal.com/maayansa/elementary-intro-github-package) or [start a trial](https://www.elementary-data.com/signup).