RAGFlow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that combines advanced RAG methods with Agent capabilities, delivering a superior, context-rich experience for Large Language Models (LLMs). It enables efficient information retrieval and contextual augmentation, optimizing generative AI pipelines.
RAGFlow is built in Python, distributed under the Apache License 2.0 license, 77.8k GitHub stars, latest release v0.24.0.
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- Language
- Python
- Latest Release
- v0.24.0
- License
- Apache License 2.0
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Key Features
- Open-source RAG engine
- Agent capabilities with LLM integration
- Superior context layer for generative AI
- Efficient information retrieval and augmentation
- Flexible API and framework support
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