Opiniones sobre Aplica la generación mejorada por recuperación (RAG) multimodal con la API de Gemini en Agent Platform

Christy M. · Se revisó hace 3 meses

Tikam S. · Se revisó hace 3 meses

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. · Se revisó hace 3 meses

the code is not working

Massimo A. · Se revisó hace 3 meses

Brent Gian B. · Se revisó hace 3 meses

Marcaba error desde el 3er punto de control

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Shamanth K. · Se revisó hace 3 meses

good

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Suhas C. · Se revisó hace 3 meses

429 issues no matter what i try

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Dilli B. · Se revisó hace 3 meses

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. · Se revisó hace 3 meses