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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