diff --git a/tools/rag/rag_retriever.xml b/tools/rag/rag_retriever.xml
index e39f118ee9..107df8e0bf 100644
--- a/tools/rag/rag_retriever.xml
+++ b/tools/rag/rag_retriever.xml
@@ -58,7 +58,7 @@ python '$__tool_directory__/rag_retriever.py' '$context_files' '$question' '$MOD
           <options from_data_table="huggingface">
             <column name="name" index="1" />
             <column name="value" index="6" />
-            <filter type="static_value" value="embedding" column="4" />
+            <filter type="static_value" value="vector-rag" column="4" />
             <filter type="static_value" value="1" column="5" />
           </options>
           <validator type="no_options"
diff --git a/tools/rag/tool-data/huggingface.loc.sample b/tools/rag/tool-data/huggingface.loc.sample
index a67f263b72..7d6f485bee 100644
--- a/tools/rag/tool-data/huggingface.loc.sample
+++ b/tools/rag/tool-data/huggingface.loc.sample
@@ -4,9 +4,10 @@
 # <unique_build_id>	<display_name>	<pipeline_tag>	<domain>	<free_tag>	<version>	<folder_base_path>
 #
 # For this tool, embedding models can be registered here and selected via the existing
-# Galaxy "huggingface" data table.
+# Galaxy "huggingface" data table. Use free_tag=vector-rag to make models visible to
+# the RAG retriever tool.
 #
 # Example entries for embedding models:
 #
-# sentence-transformers/all-MiniLM-L6-v2	all-MiniLM-L6-v2	feature-extraction	text	embedding	1	/path/to/huggingface_models/sentence-transformers/all-MiniLM-L6-v2
-# BAAI/bge-small-en	BAAI bge-small-en	feature-extraction	text	embedding	1	/path/to/huggingface_models/BAAI/bge-small-en
\ No newline at end of file
+# sentence-transformers/all-MiniLM-L6-v2	all-MiniLM-L6-v2	feature-extraction	text	vector-rag	1	/path/to/huggingface_models/sentence-transformers/all-MiniLM-L6-v2
+# BAAI/bge-small-en	BAAI bge-small-en	feature-extraction	text	vector-rag	1	/path/to/huggingface_models/BAAI/bge-small-en
\ No newline at end of file