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Summary:
[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 capabilities, backed by well-founded citations from various complex formatted data.
Latest version:
0.2.0
Required dependencies:
anthropic
|
beartype
|
beautifulsoup4
|
chardet
|
datrie
|
demjson3
|
google-generativeai
|
hanziconv
|
html5lib
|
huggingface-hub
|
jinja2
|
markdown
|
modelscope
|
nltk
|
numpy
|
ollama
|
onnxruntime
|
onnxruntime-gpu
|
openai
|
opencv-python
|
opencv-python-headless
|
openpyxl
|
pandas
|
pdfplumber
|
pillow
|
pyclipper
|
pypdf
|
python-docx
|
python-pptx
|
pyyaml
|
requests
|
scikit-learn
|
setuptools
|
shapely
|
six
|
strenum
|
tencentcloud-sdk-python
|
tiktoken
|
trio
|
xgboost
|
xpinyin
|
zhipuai
Optional dependencies:
torch
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