fix: allow negative min score in SearchQuery

Update the `SearchQuery` model in `document_index.py` to allow a
`min_score` between -1 and 1.

CHANGELOG.md

@@ -13,7 +13,7 @@
 - Add method `DocumentIndexClient.chunks()` for retrieving all text chunks of a document.
 
 ### Fixes
-...
+- The Document Index `SearchQuery` now correctly allows searches with a negative `min_score`.
 
 ### Deprecations
 ...

src/intelligence_layer/connectors/document_index/document_index.py

@@ -293,16 +293,15 @@ class SearchQuery(BaseModel):
         query: Actual text to be searched with.
         max_results: Max number of search results to be retrieved by the query.
             Must be larger than 0.
-        min_score: Filter out results with a similarity score below this value.
-            Must be between 0 and 1.
-            For searches on hybrid indexes, the Document Index applies the min_score
-            to the semantic results before fusion of result sets. As fusion re-scores results,
+        min_score: Filter out results with a similarity score below this value. Must be between
+            -1 and 1. For searches on hybrid indexes, the Document Index applies the min_score to
+            the semantic results before fusion of result sets. As fusion re-scores results,
             returned scores may exceed this value.
     """
 
     query: str
     max_results: int = Field(ge=0, default=1)
-    min_score: float = Field(ge=0.0, le=1.0, default=0.0)
+    min_score: float = Field(ge=-1.0, le=1.0, default=0.0)
     filters: Optional[list[Filters]] = None