lowers required search module to 2.6.20

Author: justin-cechmanek

redisvl/extensions/llmcache/semantic.py

@@ -15,7 +15,7 @@
 from redisvl.utils.utils import current_timestamp, serialize, validate_vector_dims
 from redisvl.utils.vectorize import BaseVectorizer, HFTextVectorizer
 
-VECTOR_FIELD_NAME = "prompt_vector"  ###
+VECTOR_FIELD_NAME = "prompt_vector"
 
 
 class SemanticCache(BaseLLMCache):
@@ -25,7 +25,6 @@ class SemanticCache(BaseLLMCache):
     entry_id_field_name: str = "entry_id"
     prompt_field_name: str = "prompt"
     response_field_name: str = "response"
-    ###vector_field_name: str = "prompt_vector"
     inserted_at_field_name: str = "inserted_at"
     updated_at_field_name: str = "updated_at"
     metadata_field_name: str = "metadata"

redisvl/extensions/router/semantic.py

@@ -28,7 +28,7 @@
 
 logger = get_logger(__name__)
 
-VECTOR_FIELD_NAME = "vector"  ###
+VECTOR_FIELD_NAME = "vector"
 
 
 class SemanticRouter(BaseModel):
@@ -42,7 +42,6 @@ class SemanticRouter(BaseModel):
     """The vectorizer used to embed route references."""
     routing_config: RoutingConfig = Field(default_factory=RoutingConfig)
     """Configuration for routing behavior."""
-    ### vector_field_name: str = "vector"
 
     _index: SearchIndex = PrivateAttr()
 

redisvl/extensions/session_manager/semantic_session.py

@@ -13,11 +13,10 @@
 from redisvl.utils.utils import validate_vector_dims
 from redisvl.utils.vectorize import BaseVectorizer, HFTextVectorizer
 
-VECTOR_FIELD_NAME = "vector_field"  ###
+VECTOR_FIELD_NAME = "vector_field"
 
 
 class SemanticSessionManager(BaseSessionManager):
-    ###vector_field_name: str = "vector_field"
 
     def __init__(
         self,

redisvl/index/index.py

@@ -354,7 +354,7 @@ def from_existing(
 
         # Validate modules
         installed_modules = RedisConnectionFactory.get_modules(redis_client)
-        validate_modules(installed_modules, [{"name": "search", "ver": 20810}])
+        validate_modules(installed_modules, [{"name": "search", "ver": 20620}])
 
         # Fetch index info and convert to schema
         index_info = cls._info(name, redis_client)