Geração aumentada por recuperação (RAG, na sigla em inglês) multimodal usando a API Gemini na Agent Platform avaliações

Christy M. · Revisado há 3 months

Tikam S. · Revisado há 3 months

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. · Revisado há 3 months

the code is not working

Massimo A. · Revisado há 3 months

Brent Gian B. · Revisado há 3 months

Marcaba error desde el 3er punto de control

José Luis R. · Revisado há 3 months

Khaja R. · Revisado há 3 months

John Roldan B. · Revisado há 3 months

Tom D. · Revisado há 3 months

Sadupati A. · Revisado há 3 months

Uha G. · Revisado há 3 months

RESHMITHAA B. · Revisado há 3 months

Avinash B. · Revisado há 3 months

Maths Masters G. · Revisado há 3 months

Shamanth K. · Revisado há 3 months

good

Udhaya P. · Revisado há 3 months

Keerthana D. · Revisado há 3 months

Uha G. · Revisado há 3 months

Suhas C. · Revisado há 3 months

429 issues no matter what i try

Santosh R. · Revisado há 3 months

Anushree A. · Revisado há 3 months

R Shree A. · Revisado há 3 months

규훈 이. · Revisado há 3 months

Dilli B. · Revisado há 3 months

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. · Revisado há 3 months