Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform Reviews
37594 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
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