RAGFlow: Modern Agentic RAG Based on Graph

ragflow.io

Cool 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.

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.

Modern 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

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