This is a more advanced integration of Google Drive with langchain.
Install
pip install langchain-googledrive
For debug
poetry install --with test
make test
Documentation
Documentation is available in the docs folder in the form of Jupyter notebooks.
Dependencies
In order to support advanced features, you may need to install the following optional dependencies:
| Dependency | Purpose |
|---|---|
unstructured |
Parsing and extracting text from various unstructured document formats |
pdf2image |
Converting PDF files to images for OCR processing |
pypandoc |
Converting between different document formats |
pytesseract |
Performing OCR (Optical Character Recognition) on images and scanned documents |
pdfminer.six |
Extracting text and metadata from PDF documents |
pi_heif |
Handling HEIF (High Efficiency Image Format) image files |
detectron2 |
Advanced image analysis for complex document structures |
These dependencies enhance the ability to process and extract information from a wide variety of file types that may be stored in Google Drive. Install the ones you need based on the types of documents you expect to work with.
1 maintainer
Metadata
1 maintainer
Release files for langchain-googledrive 0.3.35
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| langchain_googledrive-0.3.35.tar.gz | 27.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| langchain_googledrive-0.3.35-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.6 kB
Release files / langchain_googledrive-0.3.35.tar.gz
| Download URL | langchain_googledrive-0.3.35.tar.gz |
|---|---|
| Size | 27.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.1.0 CPython/3.12.8
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Release files / langchain_googledrive-0.3.35-py3-none-any.whl
| Download URL | langchain_googledrive-0.3.35-py3-none-any.whl |
|---|---|
| Size | 30.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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