update default cross-encoder model to Xenova/ms-marco-MiniLM-L-6-v2 across docs

docs/reference.md

@@ -79,13 +79,13 @@ SEARCH docs SIMILAR TO 'hello' LIMIT 5
 ### Cross-encoder reranking (RERANK default)
 
 ```
-cross-encoder/ms-marco-MiniLM-L-6-v2
+Xenova/ms-marco-MiniLM-L-6-v2
 ```
 
 | Model | Notes |
 |---|---|
-| `cross-encoder/ms-marco-MiniLM-L-6-v2` | Default. Fast passage reranker |
-| `cross-encoder/ms-marco-MiniLM-L-12-v2` | Larger, higher quality |
+| `Xenova/ms-marco-MiniLM-L-6-v2` | Default. Fast passage reranker |
+| `Xenova/ms-marco-MiniLM-L-12-v2` | Larger, higher quality |
 | `BAAI/bge-reranker-base` | Strong general-purpose reranker |
 | `BAAI/bge-reranker-large` | Highest quality, slower |
 

docs/search.md

@@ -370,15 +370,15 @@ SEARCH articles SIMILAR TO 'attention mechanism in transformers' LIMIT 10 USING
 Custom cross-encoder model:
 ```sql
 SEARCH articles SIMILAR TO 'semantic search' LIMIT 5
-  RERANK MODEL 'cross-encoder/ms-marco-MiniLM-L-6-v2'
+  RERANK MODEL 'Xenova/ms-marco-MiniLM-L-6-v2'
 ```
 
-**Default cross-encoder model:** `cross-encoder/ms-marco-MiniLM-L-6-v2`
+**Default cross-encoder model:** `Xenova/ms-marco-MiniLM-L-6-v2`
 
 | Model | Notes |
 |---|---|
-| `cross-encoder/ms-marco-MiniLM-L-6-v2` | Default. Fast and accurate for passage reranking |
-| `cross-encoder/ms-marco-MiniLM-L-12-v2` | Larger, higher quality, slower |
+| `Xenova/ms-marco-MiniLM-L-6-v2` | Default. Fast and accurate for passage reranking |
+| `Xenova/ms-marco-MiniLM-L-12-v2` | Larger, higher quality, slower |
 | `BAAI/bge-reranker-base` | BGE reranker, strong general-purpose performance |
 | `BAAI/bge-reranker-large` | Highest quality BGE reranker, slower |
 

resources/Features.md

@@ -431,7 +431,7 @@ SEARCH medical_records SIMILAR TO 'neuromuscular junction antibody acetylcholine
     AND sub_specialty IN ('neuromuscular', 'neuroimmunology')
     AND severity IN ('high', 'critical')
     AND year >= 2022
-  RERANK MODEL 'cross-encoder/ms-marco-MiniLM-L-6-v2'
+  RERANK MODEL 'Xenova/ms-marco-MiniLM-L-6-v2'
 ```
 
 ---

tests/test_parser.py

@@ -1003,10 +1003,10 @@ def test_rerank_flag_set(self):
 
     def test_rerank_with_model(self):
         node = parse(
-            "SEARCH col SIMILAR TO 'q' LIMIT 5 RERANK MODEL 'cross-encoder/ms-marco-MiniLM-L-6-v2'"
+            "SEARCH col SIMILAR TO 'q' LIMIT 5 RERANK MODEL 'Xenova/ms-marco-MiniLM-L-6-v2'"
         )
         assert node.rerank is True
-        assert node.rerank_model == "cross-encoder/ms-marco-MiniLM-L-6-v2"
+        assert node.rerank_model == "Xenova/ms-marco-MiniLM-L-6-v2"
 
     def test_rerank_default_false(self):
         node = parse("SEARCH col SIMILAR TO 'q' LIMIT 5")
@@ -1032,12 +1032,12 @@ def test_rerank_with_where(self):
     def test_rerank_with_hybrid_where_and_model(self):
         node = parse(
             "SEARCH col SIMILAR TO 'q' LIMIT 5 USING HYBRID WHERE year > 2020 "
-            "RERANK MODEL 'cross-encoder/ms-marco-MiniLM-L-6-v2'"
+            "RERANK MODEL 'Xenova/ms-marco-MiniLM-L-6-v2'"
         )
         assert node.hybrid is True
         assert node.query_filter is not None
         assert node.rerank is True
-        assert node.rerank_model == "cross-encoder/ms-marco-MiniLM-L-6-v2"
+        assert node.rerank_model == "Xenova/ms-marco-MiniLM-L-6-v2"
 
     def test_rerank_lowercase(self):
         node = parse("SEARCH col SIMILAR TO 'q' LIMIT 5 rerank")