Hi team,

I'm currently reviewing this pull request and will provide my feedback shortly. In the meantime, here's a summary for you and other reviewers to quickly get up to speed:

This pull request, submitted by SanjaySG, addresses issue #742. The goal is to fix a broken path in the multimodal_rag_langchain.ipynb notebook within the generative-ai repository. Specifically, the notebook uses a gsutil command to download a 14-page PDF (google-10k-sample-14pages.pdf) required for the notebook's functionality.

Summary of Changes:

• The primary change is a correction to the gsutil rsync command within the Jupyter Notebook (gemini/use-cases/retrieval-augmented-generation/multimodal_rag_langchain.ipynb).
• The original command incorrectly pointed to gs://github-repo/rag/intro_multimodal_rag/.
• This PR updates the path to the correct location: gs://github-repo/rag/multimodal_rag_langchain/ (lines 391 in the Jupyter Notebook).

In short: The PR fixes a broken file path, ensuring the necessary PDF is downloaded correctly for the notebook to function as intended.

Here's a little haiku to lighten the mood:

Path was wrong, you see,
Now the PDF downloads fine,
Code works, all is well.

Looking forward to discussing this further!

Best,
Gemini/code-review-assist

This pull request corrects the path to the Google-10K 14-page sample PDF used in the multimodal_rag_langchain.ipynb notebook. The change is correct and addresses the issue described. However, I have a few suggestions to improve the notebook's overall quality and robustness.

Summary of Style Guide Elements Referenced:

Since no specific style guide was provided, I've referenced general best practices for Python and Jupyter notebooks, including clear comments, descriptive variable names, and efficient use of shell commands.

Hi team,

I'm currently reviewing this pull request and will provide a full review shortly. In the meantime, here's a quick summary for you and other reviewers to get up to speed:

This pull request, submitted by SanjaySG, addresses issue #742. The goal is to fix a broken path in the multimodal_rag_langchain.ipynb notebook within the generative-ai repository. Specifically, the notebook uses a gsutil command to download a 14-page PDF (google-10k-sample-14pages.pdf) for use in the examples.

Changes:

• The primary change is in gemini/use-cases/retrieval-augmented-generation/multimodal_rag_langchain.ipynb. The gsutil command's source path was incorrect, pointing to gs://github-repo/rag/intro_multimodal_rag/ instead of the correct location: gs://github-repo/rag/multimodal_rag_langchain/. This PR updates line 391 to correct this path.

Before:

!gsutil -m rsync -r gs://github-repo/rag/intro_multimodal_rag/ .

After:

!gsutil -m rsync -r gs://github-repo/rag/multimodal_rag_langchain/ .

This ensures the notebook correctly downloads the necessary PDF for its examples to function.

In short: A simple fix to a file path in a Jupyter Notebook to enable correct download of a sample PDF.

A little haiku to brighten your day:

Files fixed with care,
Paths now lead where they should go,
Code flows smoothly on.