Remove experimental from rerank models doc

docs/static/deprecated-llama-stack-spec.html

@@ -13459,7 +13459,7 @@
         },
         {
             "name": "Inference",
-            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models (Experimental): these models reorder the documents based on their relevance to a query.",
+            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models: these models reorder the documents based on their relevance to a query.",
             "x-displayName": "Inference"
         },
         {

docs/static/deprecated-llama-stack-spec.yaml

@@ -10218,8 +10218,8 @@ tags:
       - Embedding models: these models generate embeddings to be used for semantic
       search.
 
-      - Rerank models (Experimental): these models reorder the documents based on
-      their relevance to a query.
+      - Rerank models: these models reorder the documents based on their relevance
+      to a query.
     x-displayName: Inference
   - name: Models
     description: ''

docs/static/llama-stack-spec.html

@@ -13262,7 +13262,7 @@
         },
         {
             "name": "Inference",
-            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models (Experimental): these models reorder the documents based on their relevance to a query.",
+            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models: these models reorder the documents based on their relevance to a query.",
             "x-displayName": "Inference"
         },
         {

docs/static/llama-stack-spec.yaml

@@ -10191,8 +10191,8 @@ tags:
       - Embedding models: these models generate embeddings to be used for semantic
       search.
 
-      - Rerank models (Experimental): these models reorder the documents based on
-      their relevance to a query.
+      - Rerank models: these models reorder the documents based on their relevance
+      to a query.
     x-displayName: Inference
   - name: Inspect
     description: >-

docs/static/stainless-llama-stack-spec.html

@@ -17952,7 +17952,7 @@
         },
         {
             "name": "Inference",
-            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models (Experimental): these models reorder the documents based on their relevance to a query.",
+            "description": "Llama Stack Inference API for generating completions, chat completions, and embeddings.\n\nThis API provides the raw interface to the underlying models. Three kinds of models are supported:\n- LLM models: these models generate \"raw\" and \"chat\" (conversational) completions.\n- Embedding models: these models generate embeddings to be used for semantic search.\n- Rerank models: these models reorder the documents based on their relevance to a query.",
             "x-displayName": "Inference"
         },
         {

docs/static/stainless-llama-stack-spec.yaml

@@ -13586,8 +13586,8 @@ tags:
       - Embedding models: these models generate embeddings to be used for semantic
       search.
 
-      - Rerank models (Experimental): these models reorder the documents based on
-      their relevance to a query.
+      - Rerank models: these models reorder the documents based on their relevance
+      to a query.
     x-displayName: Inference
   - name: Inspect
     description: >-