diff --git a/workflows/SSD_index.md b/workflows/SSD_index.md
index 13f17d3f0..1b8440ea5 100644
--- a/workflows/SSD_index.md
+++ b/workflows/SSD_index.md
@@ -56,8 +56,7 @@ Now build and search the index and measure the recall using ground truth compute
 ```bash
 ./tests/utils/compute_groundtruth  --data_type float --dist_fn l2 --base_file data/sift/sift_learn.fbin --query_file  data/sift/sift_query.fbin --gt_file data/sift/sift_query_learn_gt100 --K 100
 # Using 0.003GB search memory budget for 100K vectors implies 32 byte PQ compression
-./tests/build_disk_index --data_type float --dist_fn l2 --data_path data/sift/sift_learn.fbin --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 -R 32 -L50 -B 0.003 -
-M 1
+./tests/build_disk_index --data_type float --dist_fn l2 --data_path data/sift/sift_learn.fbin --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 -R 32 -L50 -B 0.003 -M 1
  ./tests/search_disk_index  --data_type float --dist_fn l2 --index_path_prefix data/sift/disk_index_sift_learn_R32_L50_A1.2 --query_file data/sift/sift_query.fbin  --gt_file data/sift/sift_query_learn_gt100 -K 10 -L 10 20 30 40 50 100 --result_path data/sift/res --num_nodes_to_cache 10000
  ```
 
@@ -72,4 +71,4 @@ The search might be slower on machine with remote SSDs. The output lists the que
     40           2         7684.18         8278.83        14714.00           30.78           94.27           99.40
     50           2         6421.66         9913.28        16550.00           38.35          116.86           99.63
    100           2         3337.98        19107.81        29292.00           76.59          226.88           99.91
-```
\ No newline at end of file
+```