GITBOOK-61: change request with no subject merged in GitBook

Author: Lev Kokotov

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@@ -49,12 +49,15 @@
   * [Tuning vector recall while generating query embeddings in the database](use-cases/tuning-vector-recall-while-generating-query-embeddings-in-the-database.md)
   * [Personalize embedding results with application data in your database](use-cases/personalize-embedding-results-with-application-data-in-your-database.md)
   * [LLM based pipelines with PostgresML and dbt (data build tool)](use-cases/llm-based-pipelines-with-postgresml-and-dbt-data-build-tool.md)
-* [Deployment](deployment/README.md)
-  * [PostgresML Cloud](deployment/postgresml-cloud.md)
-  * [Self-hosting](deployment/self-hosting/README.md)
-    * [Pooler](deployment/self-hosting/pooler.md)
-    * [Building from Source](deployment/self-hosting/building-from-source.md)
-    * [Replication](deployment/self-hosting/replication.md)
+* [Deploying PostgresML](deploying-postgresml/README.md)
+  * [PostgresML Cloud](deploying-postgresml/postgresml-cloud/README.md)
+    * [Plans](deploying-postgresml/postgresml-cloud/plans/README.md)
+      * [Serverless databases](deploying-postgresml/postgresml-cloud/plans/serverless-databases.md)
+      * [Dedicated databases](deploying-postgresml/postgresml-cloud/plans/dedicated-databases.md)
+  * [Self-hosting](deploying-postgresml/self-hosting/README.md)
+    * [Pooler](deploying-postgresml/self-hosting/pooler.md)
+    * [Building from source](deploying-postgresml/self-hosting/building-from-source.md)
+    * [Replication](deploying-postgresml/self-hosting/replication.md)
 * [PgCat](pgcat.md)
 * [Benchmarks](benchmarks/README.md)
   * [PostgresML is 8-40x faster than Python HTTP microservices](benchmarks/postgresml-is-8-40x-faster-than-python-http-microservices.md)

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@@ -0,0 +1,3 @@
+# PostgresML Cloud
+
+PostgresML Cloud is a fully managed deployment of PostgresML, operated and supported by the team that created it. Running Postgres in production and at scale is a full time job. Running Postgres and large and complex machine learning models in production is job for multiple teams. Our Cloud makes it easy to deploy and operate reliable PostgresML deployments for startups and enterprises of any scale.