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144710ad9a
There are the following main changes in this PR: 1. Rewrite of the DocugamiLoader to not do any XML parsing of the DGML format internally, and instead use the `dgml-utils` library we are separately working on. This is a very lightweight dependency. 2. Added MMR search type as an option to multi-vector retriever, similar to other retrievers. MMR is especially useful when using Docugami for RAG since we deal with large sets of documents within which a few might be duplicates and straight similarity based search doesn't give great results in many cases. We are @docugami on twitter, and I am @tjaffri --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
21 lines
550 B
Plaintext
21 lines
550 B
Plaintext
# Docugami
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>[Docugami](https://docugami.com) converts business documents into a Document XML Knowledge Graph, generating forests
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> of XML semantic trees representing entire documents. This is a rich representation that includes the semantic and
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> structural characteristics of various chunks in the document as an XML tree.
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## Installation and Setup
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```bash
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pip install dgml-utils
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```
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## Document Loader
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See a [usage example](/docs/integrations/document_loaders/docugami).
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```python
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from langchain.document_loaders import DocugamiLoader
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```
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