Does Ragflow have error correction capabilities or the ability to resolve knowledge conflicts？

[XLN0399]

Does Ragflow have the following functions:

1. Does the embedded model in Ragflow have a certain error correction capability
2. How to handle knowledge conflicts in Ragflow (by calling the API of an external LLM or by providing certain functions itself)

[dosubot[bot]]

Hi @XLN0399! I'm Dosu and I’m helping the ragflow team.

RAGFlow does not have built-in error correction capabilities in its embedding model. The robustness of embeddings depends on the underlying model you choose, but there is no explicit error correction layer for noisy or imperfect input data.

For knowledge conflict resolution, RAGFlow relies on large language models (LLMs) for entity resolution and relation extraction during knowledge graph construction. This means it uses LLMs to deduplicate and cluster similar entities, which helps with some conflicts, but there is no dedicated internal conflict resolution module. RAGFlow can also call external LLM APIs or tools as part of its chat orchestration, allowing for more advanced conflict resolution if you implement it via external plugins or tool calls. However, these mechanisms are not intrinsic to RAGFlow itself—they depend on the capabilities of the LLMs and any external tools you integrate. Error handling in RAGFlow mainly covers API retries and response errors, not semantic correction or reconciliation of conflicting knowledge at the content level example discussion.

To reply, just mention @dosu.

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[Magicbook1108]

No we dont