Google Drive

This notebook covers how to retrieve documents from Google Drive.

Prerequisites

1. Create a Google Cloud project or use an existing project
2. Enable the Google Drive API
3. Authorize credentials for desktop app
4. pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib

Retrieve the Google Docs

By default, the GoogleDriveRetriever expects the credentials.json file to be ~/.credentials/credentials.json, but this is configurable using the GOOGLE_ACCOUNT_FILE environment variable. The location of token.json uses the same directory (or use the parameter token_path). Note that token.json will be created automatically the first time you use the retriever.

GoogleDriveRetriever can retrieve a selection of files with some requests.

By default, If you use a folder_id, all the files inside this folder can be retrieved to Document.

You can obtain your folder and document id from the URL:

• Folder: https://drive.google.com/drive/u/0/folders/1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5 -> folder id is "1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5"
• Document: https://docs.google.com/document/d/1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw/edit -> document id is "1bfaMQ18_i56204VaQDVeAFpqEijJTgvurupdEDiaUQw"

The special value root is for your personal home.

from langchain_googledrive.retrievers import GoogleDriveRetriever

folder_id = "root"
# folder_id='1yucgL9WGgWZdM1TOuKkeghlPizuzMYb5'

retriever = GoogleDriveRetriever(
    num_results=2,
)

By default, all files with these MIME types can be converted to Document.

• text/text
• text/plain
• text/html
• text/csv
• text/markdown
• image/png
• image/jpeg
• application/epub+zip
• application/pdf
• application/rtf
• application/vnd.google-apps.document (GDoc)
• application/vnd.google-apps.presentation (GSlide)
• application/vnd.google-apps.spreadsheet (GSheet)
• application/vnd.google.colaboratory (Notebook colab)
• application/vnd.openxmlformats-officedocument.presentationml.presentation (PPTX)
• application/vnd.openxmlformats-officedocument.wordprocessingml.document (DOCX)

It's possible to update or customize this. See the documentation of GoogleDriveRetriever.

But, the corresponding packages must be installed.

%pip install --upgrade --quiet  unstructured

retriever.invoke("machine learning")

You can customize the criteria to select the files. A set of predefined filter are proposed:

Template	Description
gdrive-all-in-folder	Return all compatible files from a folder_id
gdrive-query	Search query in all drives
gdrive-by-name	Search file with name query
gdrive-query-in-folder	Search query in folder_id (and sub-folders in _recursive=true)
gdrive-mime-type	Search a specific mime_type
gdrive-mime-type-in-folder	Search a specific mime_type in folder_id
gdrive-query-with-mime-type	Search query with a specific mime_type
gdrive-query-with-mime-type-and-folder	Search query with a specific mime_type and in folder_id

retriever = GoogleDriveRetriever(
    template="gdrive-query",  # Search everywhere
    num_results=2,  # But take only 2 documents
)
for doc in retriever.invoke("machine learning"):
    print("---")
    print(doc.page_content.strip()[:60] + "...")

Else, you can customize the prompt with a specialized PromptTemplate

from langchain_core.prompts import PromptTemplate

retriever = GoogleDriveRetriever(
    template=PromptTemplate(
        input_variables=["query"],
        # See https://developers.google.com/drive/api/guides/search-files
        template="(fullText contains '{query}') "
        "and mimeType='application/vnd.google-apps.document' "
        "and modifiedTime > '2000-01-01T00:00:00' "
        "and trashed=false",
    ),
    num_results=2,
    # See https://developers.google.com/drive/api/v3/reference/files/list
    includeItemsFromAllDrives=False,
    supportsAllDrives=False,
)
for doc in retriever.invoke("machine learning"):
    print(f"{doc.metadata['name']}:")
    print("---")
    print(doc.page_content.strip()[:60] + "...")

API Reference:PromptTemplate

Use Google Drive 'description' metadata

Each Google Drive has a description field in metadata (see the details of a file). Use the snippets mode to return the description of selected files.

retriever = GoogleDriveRetriever(
    template="gdrive-mime-type-in-folder",
    folder_id=folder_id,
    mime_type="application/vnd.google-apps.document",  # Only Google Docs
    num_results=2,
    mode="snippets",
    includeItemsFromAllDrives=False,
    supportsAllDrives=False,
)
retriever.invoke("machine learning")