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Thank you for contributing to LangChain! - **Description:** Azure Document Intelligence OCR solution has a *feature* parameter that enables some features such as high-resolution document analysis, key-value pairs extraction, ... In langchain parser, you could be provided as a `analysis_feature` parameter to the constructor that was passed on the `DocumentIntelligenceClient`. However, according to the `DocumentIntelligenceClient` [API Reference](https://learn.microsoft.com/en-us/python/api/azure-ai-documentintelligence/azure.ai.documentintelligence.documentintelligenceclient?view=azure-python), this is not a valid constructor parameter. It was therefore remove and instead stored as a parser property that is used in the `begin_analyze_document`'s `features` parameter (see [API Reference](https://learn.microsoft.com/en-us/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer.documentanalysisclient?view=azure-python#azure-ai-formrecognizer-documentanalysisclient-begin-analyze-document)). I also removed the check for "Supported features" since all features are supported out-of-the-box. Also I did not check if the provided `str` actually corresponds to the Azure package enumeration of features, since the `ValueError` when creating the enumeration object is pretty explicit. Last caveat, is that some features are not supported for some kind of documents. This is documented inside Microsoft documentation and exception are also explicit. - **Issue:** N/A - **Dependencies:** No - **Twitter handle:** @Louis___A --------- Co-authored-by: Louis Auneau <louis@handshakehealth.co> |
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🦜️🧑🤝🧑 LangChain Community
Quick Install
pip install langchain-community
What is it?
LangChain Community contains third-party integrations that implement the base interfaces defined in LangChain Core, making them ready-to-use in any LangChain application.
For full documentation see the API reference.
📕 Releases & Versioning
langchain-community is currently on version 0.0.x
All changes will be accompanied by a patch version increase.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.