RAGFlow: Modern Agentic RAG Based on Graph
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Re: RAGFlow: Modern Agentic RAG Based on Graph
#2[deleted]
Re: RAGFlow: Modern Agentic RAG Based on Graph
#3Modern RAG system:
1. Quality-guaranteed data extraction.
2. End to end workflow based on GRAPH.
3. Hybrid search for retrieval.
4. Reflection mechanism based on the retrieval results.
Re: RAGFlow: Modern Agentic RAG Based on Graph
#4Cool project! How do you compare with Microsoft's graphrag? https://github.com/microsoft/graphrag
Re: RAGFlow: Modern Agentic RAG Based on Graph
#5Cool project! How do you compare with Microsoft's graphrag? https://github.com/microsoft/graphrag
GraphRAG is to parse data to create a KG and retrieval the information from KB.
RAGFlow is to create a Graph workflow to solve multi-hop question-answering issue.
Re: RAGFlow: Modern Agentic RAG Based on Graph
#6Cool project! How do you compare with Microsoft's graphrag? https://github.com/microsoft/graphrag
From the viewpoint of RAG 2.0, during the stage of indexing or pre-processing, such approaches as knowledge graph is a MUST to resolve such issues as multi hop question answering, long text question answering as well as semantic gap between question and answers. As a result, you could look on graphrag as a component of future RAGFlow. Given the graph based orchestration, integrating graphrag into ragflow is not difficult. As a result, RAGFlow will support graphrag in very near future.
Re: RAGFlow: Modern Agentic RAG Based on Graph
#7Modern RAG system: 1. Quality-guaranteed data extraction. 2. End to end workflow based on GRAPH. 3. Hybrid search for retrieval. 4. Reflection mechanism based on the retrieval results.
a penetrating analysis
Re: RAGFlow: Modern Agentic RAG Based on Graph
#8Modern RAG system: 1. Quality-guaranteed data extraction. 2. End to end workflow based on GRAPH. 3. Hybrid search for retrieval. 4. Reflection mechanism based on the retrieval results.
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