Add AI platform license docs

pages/database-management/enabling-memgraph-enterprise.mdx

@@ -45,6 +45,26 @@ higher-priority source wins.
 storage so it remains active across restarts even if the CLI flags or environment
 variables are no longer passed.
 
+## License types
+
+Memgraph issues three license types. All three unlock the Enterprise features
+listed at the top of this page; the difference lies in how the license-imposed
+memory limit is applied.
+
+| Type           | Feature gating | What the license memory limit gates |
+| -------------- | -------------- | ----------------------------------- |
+| `enterprise`   | Enterprise     | **Total** tracked memory (graph + vector index combined). |
+| `ai_platform`  | Enterprise     | **Graph memory only** (vertices, edges, properties). Vector index memory grows unconstrained, gated only by the system [`--memory-limit`](/configuration/configuration-settings) flag. |
+| `oem`          | OEM-specific   | Reserved for OEM deployments.       |
+
+The license type for the active license is reported by
+[`SHOW LICENSE INFO`](/database-management/server-stats#license-information)
+under the `license_type` field.
+
+The AI Platform license is intended for vector-heavy workloads (RAG,
+similarity search, AI/ML pipelines) where the embedding storage typically
+dominates total memory and should not consume the licensed graph capacity.
+
 ## Providing the license
 
 If you want to enable the Enterprise Edition on startup, [set the configuration

pages/database-management/server-stats.md

@@ -63,7 +63,7 @@ SHOW LICENSE INFO;
 | organization_name | Organization name for the enterprise license.                                                        |
 | license_key       | Encoded license key.                                                                                 |
 | is_valid          | Whether the license is currently valid. Uses the same validation logic as enterprise feature checks. |
-| license_type      | Enterprise / OEM                                                                                     |
+| license_type      | `enterprise` / `ai_platform` / `oem`                                                                  |
 | valid_until       | Date when the license expires, or `FOREVER` for non-expiring licenses.                               |
 | memory_limit      | Memory limit (in GiB).                                                                               |
 | status            | Descriptive status of the license validity.                                                          |

pages/querying/vector-search.mdx

@@ -250,6 +250,10 @@ Two fields are relevant:
 
 Together, these two fields sum to `memory_tracked` (the total tracked allocation). The instance-level `--memory-limit` applies to the combined total: if inserting a vector would exceed the limit, Memgraph throws a `Memory limit exceeded` error.
 
+<Callout type="info">
+With the [AI Platform license](/database-management/enabling-memgraph-enterprise#license-types), the license-imposed memory limit gates only `graph_memory_tracked`. Vector index memory grows up to the system `--memory-limit`, so embedding storage does not consume the licensed graph capacity.
+</Callout>
+
 <Callout type="warning">
 Deleting vertices or removing a vector property from nodes does **not** free `vector_index_memory_tracked`. However, that memory is reused when new vectors are inserted into the same index, so the reserved capacity is not wasted. Memory is fully released only when the entire index is dropped with `DROP VECTOR INDEX`.
 </Callout>