Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform Reviews

Christy M. · Reviewed 3 месяцев ago

Tikam S. · Reviewed 3 месяцев 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 месяцев ago

the code is not working

Massimo A. · Reviewed 3 месяцев ago

Brent Gian B. · Reviewed 3 месяцев ago

Marcaba error desde el 3er punto de control

José Luis R. · Reviewed 3 месяцев ago

Khaja R. · Reviewed 3 месяцев ago

John Roldan B. · Reviewed 3 месяцев ago

Tom D. · Reviewed 3 месяцев ago

Sadupati A. · Reviewed 3 месяцев ago

Uha G. · Reviewed 3 месяцев ago

RESHMITHAA B. · Reviewed 3 месяцев ago

Avinash B. · Reviewed 3 месяцев ago

Maths Masters G. · Reviewed 3 месяцев ago

Shamanth K. · Reviewed 3 месяцев ago

good

Udhaya P. · Reviewed 3 месяцев ago

Keerthana D. · Reviewed 3 месяцев ago

Uha G. · Reviewed 3 месяцев ago

Suhas C. · Reviewed 3 месяцев ago

429 issues no matter what i try

Santosh R. · Reviewed 3 месяцев ago

Anushree A. · Reviewed 3 месяцев ago

R Shree A. · Reviewed 3 месяцев ago

규훈 이. · Reviewed 3 месяцев ago

Dilli B. · Reviewed 3 месяцев 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 месяцев ago