mirror of
https://github.com/hwchase17/langchain
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affa3e755a
Added the call function get_summaries_as_docs inside of Arxivloader - **Description:** Added a function that returns the documents from get_summaries_as_docs, as the call signature is present in the parent file but never used from Arxivloader, this can be used from Arxivloader itself just like .load() as both the signatures are same. - **Issue:** Reduces time to load papers as no pdf is processed only metadata is pulled from Arxiv allowing users for faster load times on bulk loads. Users can then choose one or more paper and use ID directly with .load() to load pdf thereby loading all the contents of the paper. |
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langchain_community | ||
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poetry.lock | ||
pyproject.toml | ||
README.md |
🦜️🧑🤝🧑 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.