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34bbeb1806
* feat(knowledge): add verifiable RAGFlow source citations * docs(knowledge): scope RAGFlow guidance to its own directory * fix(knowledge): preserve citations through rendering and budgets
21 lines
1.3 KiB
Markdown
21 lines
1.3 KiB
Markdown
# RAGFlow citation snapshots
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`knowledge_search_tool` returns native `content_and_artifact`: model-visible
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`[citation:N](#knowledge-<opaque-id>)` links resolve to bounded
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`artifact.knowledge_sources` version-one evidence snapshots. Provider locators
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stay in the artifact; source names and text are credential-redacted in both
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representations. IDs are unique per retrieval, never per-message ordinal IDs.
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Only actual emitted entries get source records. Retain the exact excerpt sent
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to the model and mark truncation; do not fetch a fresh chunk and present it as
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historical evidence. Direct `knowledge_search()` callers retain its string API.
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`sources.py` forwards only captured sources cited by ordinary subagent results,
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with count/text budgets. The source dialog uses stored thread messages and
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introduces no unauthenticated document proxy. Durable batch result storage and
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standalone Markdown do not include native source artifacts.
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Output budgeting retains complete evidence entries and their source records
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together, including delegated results and model-request history. Never shorten
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an excerpt under an existing ID. Drop entries that cannot fit, with an omission
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notice, while preserving unrelated artifact fields. This honors per-tool and
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fallback limits without exempting citation-bearing results from the budget.
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