From dad1495e878129e3cde5636d4e193d2b87117d95 Mon Sep 17 00:00:00 2001
From: Anthony Mahanna <43019056+aMahanna@users.noreply.github.com>
Date: Tue, 19 Nov 2024 13:58:19 -0500
Subject: [PATCH] Update README.md
---
README.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 0551d47..d78bdb4 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,7 @@ This is a [backend to NetworkX](https://networkx.org/documentation/stable/refere
Benefits of having ArangoDB as a backend to NetworkX include:
1. No need to re-create the graph every time you start a new session.
-2. Access to GPU-accelerated graph analytics ([nx-cugraph](https://docs.rapids.ai/api/cugraph/nightly/nx_cugraph/nx_cugraph/)).
+2. Access to GPU-accelerated graph analytics ([nx-cugraph](https://rapids.ai/nx-cugraph/)).
3. Access to a database query language ([Arango Query Language](https://arangodb.com/sql-aql-comparison/)).
4. Access to a visual interface for graph exploration ([ArangoDB Web UI](https://docs.arangodb.com/stable/components/web-interface/graphs/)).
5. Access to cross-collaboration on the same graph ([ArangoDB Cloud](https://docs.arangodb.com/stable/get-started/set-up-a-cloud-instance/)).
@@ -153,7 +153,7 @@ os.environ["DATABASE_NAME"] = credentials["dbName"]
## How does algorithm dispatching work?
-`nx-arangodb` will automatically dispatch algorithm calls to either CPU or GPU based on if `nx-cugraph` is installed. We rely on a rust-based library called [phenolrs](https://github.com/arangoml/phenolrs) to retrieve ArangoDB Graphs as fast as possible.
+`nx-arangodb` will automatically dispatch algorithm calls to either CPU or GPU based on if [nx-cugraph](https://rapids.ai/nx-cugraph/) is installed. We rely on a rust-based library called [phenolrs](https://github.com/arangoml/phenolrs) to retrieve ArangoDB Graphs as fast as possible.
You can also force-run algorithms on CPU even if `nx-cugraph` is installed:
@@ -202,4 +202,4 @@ assert G_nxadb.number_of_nodes() == G_nx.number_of_nodes()
assert G_nxadb.number_of_edges() == G_nx.number_of_edges()
```
-
\ No newline at end of file
+