透過 Agent Platform 的 Gemini API，實作多模態檢索增強生成 (RAG) 功能 Reviews

PARA J. · Reviewed about 2 months ago

MITANSH C. · Reviewed about 2 months ago

Vibhaanshu .. · Reviewed about 2 months ago

Vibhaanshu .. · Reviewed about 2 months ago

Ritika S. · Reviewed about 2 months ago

Stanislav E. · Reviewed about 2 months ago

Vibhaanshu .. · Reviewed about 2 months ago

Ganesh C. · Reviewed about 2 months ago

good

Jathin M. · Reviewed about 2 months ago

GATE A. · Reviewed about 2 months ago

K V S. · Reviewed about 2 months ago

get_cosine_score function inside utils file didin't work. import numpy as np import pandas as pd import utils.intro_multimodal_rag_utils as utils # Define a corrected version of get_cosine_score def get_cosine_score_fixed(dataframe, column_name, input_text_embed): val = dataframe[column_name] # Handle None or empty values safely if val is None: return 0.0 # If it's a list or numpy array, check length safely without pd.isna() if isinstance(val, (list, np.ndarray)): if len(val) == 0: return 0.0 return float(np.dot(val, input_text_embed)) # Check for single scalar NA values if pd.isna(val): return 0.0 return float(np.dot(val, input_text_embed)) # Override the broken utility function with our fixed one utils.get_cosine_score = get_cosine_score_fixed. wasted two days to complete this lab.

Apsar M. · Reviewed about 2 months ago

sivathmika k. · Reviewed about 2 months ago

Mahek D. · Reviewed about 2 months ago

sivathmika k. · Reviewed about 2 months ago

Iqbal G. · Reviewed about 2 months ago

good

Nidhi T. · Reviewed about 2 months ago

Lab with error

Natália N. · Reviewed about 2 months ago

Shreyansh B. · Reviewed about 2 months ago

247Y1A05T5 R. · Reviewed about 2 months ago

ARAKALA K. · Reviewed about 2 months ago

The jupiter notebook is broken all steps from text search and after don't work

Maxim T. · Reviewed about 2 months ago

GADDAM V. · Reviewed about 2 months ago

Nageshmanidatta L. · Reviewed about 2 months ago

Mohammed sameer a. · Reviewed about 2 months ago