[UPDATE] Refactor request and response schemas to include /query endpoint in documentation

src/models/schemas/__init__.py

@@ -13,14 +13,12 @@ from .common import (
     EmbeddingOptions,
 )
 
-from .requests import BaseEmbedRequest, EmbedRequest, BatchEmbedRequest
+from .requests import BaseEmbedRequest, EmbedRequest
 
 from .responses import (
     BaseEmbedResponse,
     DenseEmbedResponse,
     SparseEmbedResponse,
-    BatchDenseEmbedResponse,
-    BatchSparseEmbedResponse,
     ModelsListResponse,
     RootResponse,
 )

src/models/schemas/requests.py

@@ -49,7 +49,7 @@ class EmbedRequest(BaseEmbedRequest):
     """
     Request model for single/batch text and sparse embedding.
 
-    Used for /embed endpoint to process multiple texts at once.
+    Used for /embed and /query endpoint to process multiple texts at once.
 
     Attributes:
         texts: List of input texts to embed
@@ -61,7 +61,6 @@ class EmbedRequest(BaseEmbedRequest):
         ...,
         description="List of input texts to generate embeddings for",
         min_length=1,
-        max_length=100,
     )
 
     @field_validator("texts")

src/models/schemas/responses.py

@@ -27,7 +27,7 @@ class DenseEmbedResponse(BaseEmbedResponse):
     """
     Response model for single/batch dense embeddings.
 
-    Used for /embed endpoint with dense models.
+    Used for /embed & /query endpoint with dense models.
 
     Attributes:
         embeddings: List of generated dense embedding vectors
@@ -63,7 +63,7 @@ class SparseEmbedResponse(BaseEmbedResponse):
     """
     Response model for single/batch sparse embeddings.
 
-    Used for /embed_sparse endpoint with sparse models.
+    Used for /embed and /query endpoint with sparse models.
 
     Attributes:
         embeddings: List of generated sparse embeddings