Agent Platform'da Gemini API ile Çok Formatlı Veriyle Artırılmış Üretim (RAG) Reviews
36909 reviews
Christy M. · Reviewed 3 ay ago
Tikam S. · Reviewed 3 ay ago
Got an error during the execution of Jupyter preventing me from moving forward. It could potentially be related to deprecated APIs. google-cloud-aiplatform 1.130.0 requires google-genai<2.0.0,>=1.37.0, but you have google-genai 2.4.0 which is incompatible.
Boire J. · Reviewed 3 ay ago
the code is not working
Massimo A. · Reviewed 3 ay ago
Brent Gian B. · Reviewed 3 ay ago
Marcaba error desde el 3er punto de control
José Luis R. · Reviewed 3 ay ago
Khaja R. · Reviewed 3 ay ago
John Roldan B. · Reviewed 3 ay ago
Tom D. · Reviewed 3 ay ago
Sadupati A. · Reviewed 3 ay ago
Uha G. · Reviewed 3 ay ago
RESHMITHAA B. · Reviewed 3 ay ago
Avinash B. · Reviewed 3 ay ago
Maths Masters G. · Reviewed 3 ay ago
Shamanth K. · Reviewed 3 ay ago
good
Udhaya P. · Reviewed 3 ay ago
Keerthana D. · Reviewed 3 ay ago
Uha G. · Reviewed 3 ay ago
Suhas C. · Reviewed 3 ay ago
429 issues no matter what i try
Santosh R. · Reviewed 3 ay ago
Anushree A. · Reviewed 3 ay ago
R Shree A. · Reviewed 3 ay ago
규훈 이. · Reviewed 3 ay ago
Dilli B. · Reviewed 3 ay ago
there were issues with the code blocks; Ah, that explains it. The rich library is installed, but it's sitting in your micromamba environment (`/opt/micromamba/...`), while your Jupyter Notebook kernel is likely running a completely different Python executable. When Jupyter uses a different kernel version or virtual environment than the one where the packages are installed, it won't see them, leading back to that NameError. You can fix this inside the notebook by forcing pip to install directly into the specific environment your current kernel is using. Run this in a new cell: ```python import sys !{sys.executable} -m pip install rich vertexai ``` Using `sys.executable` guarantees that the packages land in the exact Python environment running your current notebook. Once that cell finishes running, go ahead and execute your import cell again: ```python from IPython.display import Markdown, display from rich.markdown import Markdown as rich_Markdown from vertexai.generative_models import GenerationConfig, GenerativeModel, Image ``` Everything should import cleanly this time, and your model initialization lines will work right after.
Raphael M. · Reviewed 3 ay ago
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