text: search results for query '{query}': {hybrid_result}")print(    f"The 'text' field value from the top hit is: '{hybrid_result['hits']['hits'][0]['_source']['text']}'")Test knn search using pre generated vectorâ€‹# Generate embedding for testsquery_text = "Hello"query_embedding = embeddings.embed_query(query_text)print(    f"Length of embedding: {len(query_embedding)}\nFirst two items in embedding: {query_embedding[:2]}")# Test knn Searchknn_result = knn_search.knn_search(query_vector=query_embedding, k=2)print(    f"The 'text' field value from the top hit is: '{knn_result['hits']['hits'][0]['_source']['text']}'")# Test hybrid search - Requires both query_text and query_vectorknn_result = knn_search.knn_hybrid_search(    query_vector=query_embedding, query=query_text, k=2)print(    f"The 'text' field value from the top hit is: '{knn_result['hits']['hits'][0]['_source']['text']}'")Test source optionâ€‹# Test `knn_search` method with model_id and query_textquery = "Hello"knn_result = knn_search.knn_search(query=query, model_id=model_id, k=2, source=False)assert not "_source" in knn_result["hits"]["hits"][0].keys()# Test `hybrid_search` methodquery = "Hello"hybrid_result = knn_search.knn_hybrid_search(    query=query, model_id=model_id, k=2, source=False)assert not "_source" in hybrid_result["hits"]["hits"][0].keys()Test fields optionâ€‹# Test `knn_search` method with model_id and query_textquery =