From 10a538666bc3d0915cf2d5707f5799d0a5b1cd01 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Florentin=20D=C3=B6rre?= <florentin.dorre@neo4j.com>
Date: Tue, 4 Nov 2025 16:13:28 +0100
Subject: [PATCH] Remove credentials for cypher-api

not needed anymore
---
 documentation/graph-analytics.adoc | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/documentation/graph-analytics.adoc b/documentation/graph-analytics.adoc
index ea3ed1e..a53b0cc 100644
--- a/documentation/graph-analytics.adoc
+++ b/documentation/graph-analytics.adoc
@@ -2,10 +2,6 @@
 
 link:https://neo4j.com/docs/aura/graph-analytics[Graph Analytics^] allows you to run graph algorithms on your data, for example to detect communities or shortest paths between nodes.
 
-== Requirements
-
-You must create link:https://neo4j.com/docs/aura/api/authentication/[Aura API credentials] to use Aura Graph Analytics.
-
 == Graph Analytics with Cypher
 
 Add data to your AuraDB instance using the following Cypher query.
@@ -31,7 +27,6 @@ Then, create a remote in-memory graph within an Aura Graph Analytics session usi
 [source, cypher, copy=true]
 ----
 CYPHER runtime=parallel
-WITH gds.aura.api.credentials("<Aura API Client ID>", "<Aura API Client Secret>") AS credentials
 MATCH (n)
 OPTIONAL MATCH (n)-->(m)
 RETURN gds.graph.project('myGraph', n, m, {}, {memory: '4GB'})
@@ -42,7 +37,6 @@ For example, run PageRank to find the central nodes in the graph and see their s
 
 [source, cypher, copy=true]
 ----
-WITH gds.aura.api.credentials("<Aura API Client ID>", "<Aura API Client Secret>") AS credentials
 CALL gds.pageRank.stream('myGraph')
 YIELD nodeId, score
 RETURN gds.util.asNode(nodeId).name, score
@@ -52,10 +46,7 @@ Finally, drop the graph to delete the session when you no longer need it.
 
 [source, cypher, copy=true]
 ----
-WITH gds.aura.api.credentials("<Aura API Client ID>", "<Aura API Client Secret>") AS credentials
 CALL gds.graph.drop('myGraph')
-YIELD graphName
-RETURN graphName
 ----
 
 For a more detailed example including the use of query parameters for the Aura API credentials, updates to the in-memory graph, and write-back to AuraDB, see the link:https://neo4j.com/docs/graph-data-science/current/aura-graph-analytics/quickstart/[Aura Graph Analytics quickstart].
@@ -64,6 +55,8 @@ For more information about the Graph Analytics Cypher API, see the link:https://
 
 == Graph Analytics with the Python client
 
+You must create link:https://neo4j.com/docs/aura/api/authentication/[Aura API credentials] to use Python client for Aura Graph Analytics.
+
 Compared to the Cypher API, the Python client adds the option to run algorithms on data from non-Neo4j data sources such as Pandas DataFrames.
 
 To use the Graph Analytics features in Neo4j Aura with Python, you need to install the `graphdatascience` package.
@@ -154,4 +147,4 @@ Finally, delete the session when you no longer need it.
 my_session.delete()
 ----
 
-For more details, see the Python client link:https://neo4j.com/docs/graph-data-science-client/current/graph-analytics-serverless/[docs] and the link:https://neo4j.com/docs/graph-data-science-client/current/tutorials/graph-analytics-serverless/[tutorial for AuraDB].
\ No newline at end of file
+For more details, see the Python client link:https://neo4j.com/docs/graph-data-science-client/current/graph-analytics-serverless/[docs] and the link:https://neo4j.com/docs/graph-data-science-client/current/tutorials/graph-analytics-serverless/[tutorial for AuraDB].