RAGFlow

RAGFlow 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.

Features

Deep document understanding-based knowledge extraction from unstructured data with complicated formats
Finds "needle in a data haystack" of literally unlimited tokens
Template-based chunking
Grounded citations with reduced hallucinations
Compatibility with heterogeneous data sources
Automated and effortless RAG workflow
Streamlined RAG orchestration catered to both personal and large businesses
Intuitive APIs for seamless integration with business

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-07-30

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