chore: doctests fixes

src/retrieval/graph.rs

@@ -30,23 +30,6 @@ use crate::storage::types::{knowledge_entity::KnowledgeEntity, StoredObject};
 /// This function will return a `Error` if:
 /// * The database query fails to execute
 /// * The results cannot be deserialized into type `T`
-///
-/// # Example
-///
-/// ```rust
-/// #[derive(serde::Deserialize)]
-/// struct KnowledgeEntity {
-///     id: String,
-///     source_id: String,
-///     // ... other fields
-/// }
-///
-/// let results = find_entities_by_source_id::<KnowledgeEntity>(
-///     "source123".to_string(),
-///     "knowledge_entity".to_string(),
-///     &db_client
-/// ).await?;
-/// ```
 pub async fn find_entities_by_source_ids<T>(
     source_id: Vec<String>,
     table_name: String,

src/utils/embedding.rs

@@ -25,14 +25,6 @@ use crate::error::ProcessingError;
 /// * If the OpenAI API request fails
 /// * If the request building fails
 /// * If no embedding data is received in the response
-///
-/// # Example
-///
-/// ```rust
-/// let client = async_openai::Client::new();
-/// let text = String::from("Hello, world!");
-/// let embedding = generate_embedding(&client, text).await?;
-/// ```
 pub async fn generate_embedding(
     client: &async_openai::Client<async_openai::config::OpenAIConfig>,
     input: String,