Retrieval-Augmented Generation (RAG) Multimodal menggunakan Gemini API di Agent Platform Ulasan

36909 ulasan

Christy M. · Diulas 3 bulan lalu

Tikam S. · Diulas 3 bulan lalu

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. · Diulas 3 bulan lalu

the code is not working

Massimo A. · Diulas 3 bulan lalu

Brent Gian B. · Diulas 3 bulan lalu

Marcaba error desde el 3er punto de control

José Luis R. · Diulas 3 bulan lalu

Khaja R. · Diulas 3 bulan lalu

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Avinash B. · Diulas 3 bulan lalu

Maths Masters G. · Diulas 3 bulan lalu

Shamanth K. · Diulas 3 bulan lalu

good

Udhaya P. · Diulas 3 bulan lalu

Keerthana D. · Diulas 3 bulan lalu

Uha G. · Diulas 3 bulan lalu

Suhas C. · Diulas 3 bulan lalu

429 issues no matter what i try

Santosh R. · Diulas 3 bulan lalu

Anushree A. · Diulas 3 bulan lalu

R Shree A. · Diulas 3 bulan lalu

규훈 이. · Diulas 3 bulan lalu

Dilli B. · Diulas 3 bulan lalu

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. · Diulas 3 bulan lalu

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