diff --git a/llms-full.txt b/llms-full.txt
index bbfc1da..fdf1a5b 100644
--- a/llms-full.txt
+++ b/llms-full.txt
@@ -78,7 +78,7 @@ AUTO-GENERATED by PyAutoBuild — do not edit by hand; regenerate with generate.
 - [Searches: Maximum Likelihood Estimation](scripts/searches/mle.py): This example illustrates how to use the maximum likelihood / optimization algorithms supported by **PyAutoFit**:
   - Contents: Data, Model + Analysis, Search: Drawer, Search: LBFGS, Search Internal
 - [Searches: Nested Sampling](scripts/searches/nest.py): This example illustrates how to use the nested sampling algorithms supported by **PyAutoFit**:
-  - Contents: Data, Model + Analysis, Search: DynestyStatic, Search: DynestyDynamic, Search: Nautilus, Search: NSS, Search Internal
+  - Contents: Data, Model + Analysis, Search: DynestyStatic, Search: DynestyDynamic, Search: Nautilus, Search Internal
 - [Feature: Start Point](scripts/searches/start_point.py): For maximum likelihood estimator (MLE) and Markov Chain Monte Carlo (MCMC) non-linear searches, parameter space sampling is built around having a "location" in parameter space.
   - Contents: Comparison to Priors, Example Source Code (`af.ex`), Start Here Notebook, Data, Start Point Priors, Start Point, Search + Analysis + Model-Fit, Result
 
diff --git a/workspace_index.json b/workspace_index.json
index 6dc5047..f9219cd 100644
--- a/workspace_index.json
+++ b/workspace_index.json
@@ -585,7 +585,6 @@
       "Search: DynestyStatic",
       "Search: DynestyDynamic",
       "Search: Nautilus",
-      "Search: NSS",
       "Search Internal"
     ],
     "cross_refs": [],