
During September 2025, this developer enhanced the infiniflow/ragflow repository by implementing Knowledge-Base Scoped Citations in Chat, ensuring that chat responses referenced only documents from the active knowledge base. Using Python for backend and API development, they addressed a cross-knowledge-base citation issue that previously allowed irrelevant citations, thereby tightening the retrieval-augmented generation process. Their work involved refining SQL queries and backend logic to constrain citation sources, which improved the relevance and reliability of chat outputs. This focused engineering effort reduced citation noise and potential misinformation, directly supporting higher user trust and satisfaction in the knowledge-based chat system’s responses.

September 2025 monthly summary for infiniflow/ragflow: Delivered Knowledge-Base Scoped Citations in Chat to ensure responses cite only documents from the active knowledge base, increasing response relevance and user trust. Fixed a cross-KB citation bug (addresses issue #9900) that allowed citations outside the current KB. The changes tighten the retrieval-augmented generation loop and reduce citation noise, delivering measurable business value in support quality and user satisfaction.
September 2025 monthly summary for infiniflow/ragflow: Delivered Knowledge-Base Scoped Citations in Chat to ensure responses cite only documents from the active knowledge base, increasing response relevance and user trust. Fixed a cross-KB citation bug (addresses issue #9900) that allowed citations outside the current KB. The changes tighten the retrieval-augmented generation loop and reduce citation noise, delivering measurable business value in support quality and user satisfaction.
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