Document that the GenAI plugin is available on prem as well (#889)

Linked to neo4j/docs-operations#1429

modules/ROOT/pages/deprecations-additions-removals-compatibility.adoc

@@ -874,20 +874,20 @@ The `trackedSince` column returns the time when usage statistics tracking starte
 
 |===
 
-=== New features 
+=== New features
 
 [cols="2", options="header"]
 |===
 | Feature
 | Details
 
-a| 
+a|
 label:functionality[]
 label:new[]
 
 New operator: `AssertSameRelationship`
 
-a| 
+a|
 The `AssertSameRelationship` operator is used to ensure that no relationship property uniqueness constraints are violated in the slotted and interpreted runtime.
 More information can be found xref:planning-and-tuning/operators/operators-detail.adoc#query-plan-assert-same-relationship[here].
 
@@ -990,7 +990,7 @@ label:functionality[]
 label:new[]
 [source, syntax, role=noheader]
 ----
-CALL { 
+CALL {
   <inner>
 } IN TRANSACTIONS [ OF <num> ROWS ]
   [ ON ERROR CONTINUE / BREAK / FAIL ]
@@ -1004,7 +1004,7 @@ New fine-grained control mechanism to control how an inner transaction impacts s
 
 * `ON ERROR BREAK` - will ignore an error and stop the execution of subsequent inner transactions.
 
-* `ON ERROR FAIL` - will fail in case of an error. 
+* `ON ERROR FAIL` - will fail in case of an error.
 
 *  `REPORT STATUS AS <v>` - reports the execution status of the inner transaction (a map value including the fields `started` `committed`, `transactionId`, and `errorMessage`). This flag is disallowed for `ON ERROR FAIL`.
 
@@ -1130,13 +1130,13 @@ RETURN 'val' as one, 'val' as two
 | Feature
 | Details
 
-a| 
+a|
 label:functionality[]
 label:new[]
 
 New operator: `IntersectionNodeByLabelsScan`
 
-a| 
+a|
 The `IntersectionNodeByLabelsScan` operator fetches all nodes that have all of the provided labels from the node label index.
 More information can be found xref::planning-and-tuning/operators/operators-detail.adoc#query-plan-intersection-node-by-labels-scan[here].
 
@@ -1161,7 +1161,7 @@ label:updated[]
 SHOW DATABASES
 ----
 a|
-Changes to the visibility of databases hosted on offline servers. 
+Changes to the visibility of databases hosted on offline servers.
 
 For such databases:
 
@@ -1208,20 +1208,20 @@ The property uniqueness constraint type filter now allow both `UNIQUE` and `UNIQ
 
 |===
 
-=== New features 
+=== New features
 
 [cols="2", options="header"]
 |===
 | Feature
 | Details
 
-a| 
+a|
 label:functionality[]
 label:new[]
 
 New operator: `NodeByElementIdSeek`
 
-a| 
+a|
 The `NodeByElementIdSeek` operator reads one or more nodes by ID from the node store, specified via the function xref::functions/scalar.adoc#functions-elementid[elementId()].
 More information can be found xref::planning-and-tuning/operators/operators-detail.adoc#query-plan-node-by-elementid-seek[here].
 

modules/ROOT/pages/functions/index.adoc

@@ -19,7 +19,7 @@ This section contains information on all functions in the Cypher query language.
 * LOAD CSV functions [xref::functions/index.adoc#header-query-functions-load-csv[Summary]|xref::functions/load-csv.adoc[Detail]]
 * Graph functions [xref::functions/index.adoc#header-query-functions-graph[Summary]|xref::functions/graph.adoc[Detail]]
 * Database functions [xref::functions/index.adoc#header-query-functions-database[Summary]|xref::functions/database.adoc[Detail]] label:new[Introduced in 5.12]
-* GenAI function [xref::functions/index.adoc#header-query-functions-genai[Summary]|xref::genai-integrations.adoc#single-embedding[Detail]] label:new[Introduced in 5.16] label:aura-only[Avaliable only on Aura]
+* GenAI function [xref::functions/index.adoc#header-query-functions-genai[Summary]|xref::genai-integrations.adoc#single-embedding[Detail]] label:new[Available in Aura] label:new[Introduced in 5.17]
 * User-defined functions [xref::functions/index.adoc#header-query-functions-user-defined[Summary]|xref::functions/user-defined.adoc[Detail]]
 
 Related information may be found in xref::syntax/operators.adoc[Operators].
@@ -799,15 +799,14 @@ label:new[Introduced in 5.12]
 |===
 
 [[header-query-functions-genai]]
-**xref::genai-integrations.adoc#single-embedding[GenAI function]** label:new[Introduced in 5.16] label:aura-only[Available only on Aura]
+**xref::genai-integrations.adoc#single-embedding[GenAI function]** label:new[Introduced in 5.17]
 
 This function is used to generate a vector embedding for a single value.
 
 [options="header"]
 |===
 | Function | Signature | Description
 1.1+| xref:genai-integrations.adoc#single-embedding[`genai.vector.encode()`]  | `genai.vector.encode(resource :: STRING, provider :: STRING, configuration :: MAP = {}) :: LIST<FLOAT>` | Encode a given resource as a vector using the named provider.
-label:new[Introduced in 5.16] label:aura-only[Available only on Aura]
 |===
 
 [[header-query-functions-user-defined]]

modules/ROOT/pages/genai-integrations.adoc

@@ -2,16 +2,27 @@
 
 :link-vector-indexes: xref:indexes/semantic-indexes/vector-indexes.adoc
 
-[role=on-aura]
 [[genai-integrations]]
 = GenAI integrations
 
-_This feature is available only in Aura._
+_This feature is available from Neo4j 5.17 in both Neo4j Aura and on-prem deployments._
 
 Neo4j provides integrations with various generative AI services using a native GenAI plugin.
 This includes support for transforming text data into vector embeddings using VertexAI, OpenAI, or Amazon Bedrock.
 The resulting vector embeddings can be used together with Neo4j's {link-vector-indexes}[vector search indexes].
 
+== Prerequisites
+
+To use the GenAI plugin, you need to have the following:
+
+* A Neo4j DBMS running Neo4j 5.17 or later.
+* A GenAI provider account, such as VertexAI, OpenAI, or Amazon Bedrock.
+* API credentials for the provider you want to use.
+* (On-prem only) the Neo4j GenAI plugin installed in your Neo4j deployment.
+The plugin JAR is located in the _<NEO4J_HOME>/products_ directory of the Neo4j installation.
+For more information on how to install and configure the plugin, see link:{neo4j-docs-base-uri}/operations-manual/{page-version}/configuration/plugins/[Operations Manual -> Configure plugins].
+The plugin is enabled by default in Neo4j Aura.
+
 [[vector-embeddings]]
 == Vector embeddings