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[RAGFlow](https://ragflow.io/) is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It offers a streamlined RAG workflow for businesses of any scale, combining LLM (Large Language Models) to provide truthful question-answering capabi
pip install deepdoc-lib
PyPI declares 43 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.8.2>=0.69.0<0.19.0,>=0.18.5>=4.12.0>=5.2.0>=3.0.6>=0.3.2>=1.1>=3.1.0<2.0.0,>=1.20.0>=3.6>=3.9.1>=2.0.0>=0.6.1>=1.19.2>=1.45.0>=4.10.0.84>=4.10.0.84<4.0.0,>=3.1.0<3.0.0,>=2.2.2>=0.10.4>=11.0.0>=1.3.0.post5>=6.0.0<2.0.0,>=1.0.2The compact report shows 25 of 43 declarations. The interactive dependency graph loads the complete metadata.
deepdoc-lib publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
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PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.