关于“在 Agent Platform 中使用 Gemini API 执行多模态检索增强生成 (RAG)”的评价

Sruthi V. · 已于 12 days前审核

`get_cosine_score` in intro_multimodal_rag_utils.py needs to be updated to: ''' def get_cosine_score( dataframe: pd.DataFrame, column_name: str, input_text_embed: np.ndarray ) -> float: """ Calculates the cosine similarity between the user query embedding and the dataframe embedding for a specific column. Args: dataframe: The pandas DataFrame containing the data to compare against. column_name: The name of the column containing the embeddings to compare with. input_text_embed: The NumPy array representing the user query embedding. Returns: The cosine similarity score (rounded to two decimal places) between the user query embedding and the dataframe embedding. """ return round(np.dot(dataframe[column_name], input_text_embed), 2) '''

Israel U. · 已于 13 days前审核

033 P. · 已于 13 days前审核

Shanmathi S. · 已于 13 days前审核

Varshini G. · 已于 13 days前审核

Asra S. · 已于 13 days前审核

Dathri Ramanvitha B. · 已于 13 days前审核

Suruthi M. · 已于 13 days前审核

Sivasakthi N. · 已于 13 days前审核

Potarlanka kamal2007 G. · 已于 13 days前审核

Mohan R. · 已于 13 days前审核

Sruthi P. · 已于 13 days前审核

Choppakatla V. · 已于 13 days前审核

Sathiriyan R. · 已于 13 days前审核

Ahmed S. · 已于 13 days前审核

Aisyah N. · 已于 13 days前审核

yogasri G. · 已于 14 days前审核

VISHAL G. · 已于 14 days前审核

Rahul E. · 已于 14 days前审核

Moparthi L. · 已于 14 days前审核

Ficou carregando mais de 10 minutos sem carregar o laboratório

Alexandre R. · 已于 14 days前审核

GIRDHARI K. · 已于 15 days前审核

Bhavana G. · 已于 15 days前审核

Sunilkumar D. · 已于 15 days前审核

Mohan P. · 已于 15 days前审核