Optimize semantic entity filtering threshold

Lowered the score threshold for filtering entities from 0.75 to

trauma/api/message/ai/engine.py

@@ -75,6 +75,7 @@ async def search_entities(
 async def search_semantic_entities(
         search_request: str, entity_data: EntityData, entities_indexes: list[int]
 ) -> list[EntityModelExtended]:
+
     embedding = await convert_value_to_embeddings(search_request)
     query_embedding = np.array([embedding], dtype=np.float32)
     distances, indices = settings.SEMANTIC_INDEX.search(query_embedding, k=settings.SEMANTIC_INDEX.ntotal)
@@ -121,6 +122,6 @@ async def set_entities_score(entities: list[EntityModelExtended], search_request
         if score > 0.9:
             entity.topMatch = True
         entity.score = score
-        if score > 0.75:
+        if score > 0.72:
             final_entities.append(entity)
     return sorted(final_entities, key=lambda x: x.score, reverse=True)

trauma/api/message/ai/openai_request.py

@@ -37,6 +37,7 @@ async def generate_next_question(instructions: str, message_history_str: str):
 
 @openai_wrapper(temperature=0.4)
 async def generate_search_request(user_messages_str: str, entity_data: dict):
+
     messages = [
         {
             "role": "system",