使用 Agent Platform 的 Gemini API，執行多模態檢索增強生成 (RAG) 功能 Reviews

Christy M. · Reviewed 3 months ago

Tikam S. · Reviewed 3 months 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 months ago

the code is not working

Massimo A. · Reviewed 3 months ago

Brent Gian B. · Reviewed 3 months ago

Marcaba error desde el 3er punto de control

José Luis R. · Reviewed 3 months ago

Khaja R. · Reviewed 3 months ago

John Roldan B. · Reviewed 3 months ago

Tom D. · Reviewed 3 months ago

Sadupati A. · Reviewed 3 months ago

Uha G. · Reviewed 3 months ago

RESHMITHAA B. · Reviewed 3 months ago

Avinash B. · Reviewed 3 months ago

Maths Masters G. · Reviewed 3 months ago

Shamanth K. · Reviewed 3 months ago

good

Udhaya P. · Reviewed 3 months ago

Keerthana D. · Reviewed 3 months ago

Uha G. · Reviewed 3 months ago

Suhas C. · Reviewed 3 months ago

429 issues no matter what i try

Santosh R. · Reviewed 3 months ago

Anushree A. · Reviewed 3 months ago

R Shree A. · Reviewed 3 months ago

규훈 이. · Reviewed 3 months ago

Dilli B. · Reviewed 3 months 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 months ago