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### Adds a document loader for Docugami Specifically: 1. Adds a data loader that talks to the [Docugami](http://docugami.com) API to download processed documents as semantic XML 2. Parses the semantic XML into chunks, with additional metadata capturing chunk semantics 3. Adds a detailed notebook showing how you can use additional metadata returned by Docugami for techniques like the [self-querying retriever](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query_retriever.html) 4. Adds an integration test, and related documentation Here is an example of a result that is not possible without the capabilities added by Docugami (from the notebook): <img width="1585" alt="image" src="https://github.com/hwchase17/langchain/assets/749277/bb6c1ce3-13dc-4349-a53b-de16681fdd5b"> --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com> Co-authored-by: Taqi Jaffri <tjaffri@gmail.com> |
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| .. | ||
| document_loaders/examples | ||
| retrievers/examples | ||
| text_splitters | ||
| vectorstores | ||
| document_loaders.rst | ||
| getting_started.ipynb | ||
| retrievers.rst | ||
| text_splitters.rst | ||
| vectorstores.rst | ||