Citation Sources and Traceability for Engineering Consulting Research Reports

Data for engineering consulting research reports comes primarily from project feasibility study reports and cost consulting documents issued by formal

What the data for this category looks like

Data for engineering consulting research reports comes primarily from project feasibility study reports and cost consulting documents issued by formal engineering consulting institutions serving infrastructure projects for financial institutions, as well as engineering construction standards and policy documents released by housing and urban-rural development and financial regulatory authorities. Update frequency adjusts based on project progress or policy releases, with no fixed high-frequency update cycle. Page counts vary widely across individual documents. Values should be determined based on statistics or actual measurements using the reader's own samples. These documents are structured, and include fields including project number, consulting unit, compilation date, cost indicators (units: yuan/square meter, cubic meter, etc.), technical parameters, compliance reference clauses, and appendix reference materials. Some documents include original excerpts of policy documents as supporting evidence.

Constraints imposed by these characteristics on the citation sources and traceability workflow

Data sources for engineering consulting research reports are scattered across institution-developed reports and official policy documents. The traceability workflow must distinguish between internally compiled content and externally referenced original policy documents, and associate metadata for each corresponding source separately. Since there is no fixed update cycle, document compilation date, issuing unit, and other identifiers must be recorded synchronously during data import. Unified version numbers cannot be relied on for incremental traceability. Documents include cost and technical parameter fields with units. Original unit information must be retained during matching to prevent traceability failures caused by unit mismatches. Individual documents are lengthy. After segmented retrieval, results must be linked to specific chapters of the original document, not just the file name. Precise paragraph-level traceability markers must be implemented to meet compliance verification requirements for engineering consulting scenarios.

Configuration Settings

Config ItemRecommended ValueRationale for This Value
Recall countTop 8-12 resultsEngineering consulting research reports are highly specialized and lengthy. Too many retrieved results create redundant context, while too few fail to cover core consulting key points
Chunk size800-1200 charactersEngineering consulting documents contain a large number of technical parameters with units and long sentences. This segment length preserves the association between parameters and context, avoiding loss of critical information after splitting
Similarity threshold0.72-0.85There are many specialized terms in engineering consulting scenarios. A threshold that is too low introduces irrelevant retrieval results, while a threshold that is too high fails to retrieve relevant compliance clauses and technical solutions
SOURCE_MARK_ENABLEEnabledEach retrieved result must be bound to the source identifier of the original document to meet the basic requirements of traceability verification
REFERENCE_DISPLAY_MODEParagraph-level traceabilityEngineering consulting reports require precision down to specific chapters and clauses, not just file names. Paragraph-level markers meet compliance verification needs
PARSE_FILE_TIMEOUT_SECONDS600 secondsMost engineering consulting documents are lengthy, requiring sufficient time for structured parsing and field extraction

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to perform actual measurements using the reader's own samples before finalizing values.

Three Common Errors

  • Phenomenon: Forged citation IDs appear in large model output results, with no source information for the corresponding original document. Cause: The SOURCE_MARK_ENABLE configuration is not enabled, or retrieval results are not correctly bound to the metadata of the original document, causing the system to fail to generate valid citation markers.
  • Phenomenon: Retrieval results include the phrase "Citation Marker: [1]" from the original document, which is directly output in the final answer. Cause: The REFERENCE_DISPLAY_MODE is not configured to filter in-document markers, or internal citation identifiers are not stripped during the parsing phase.
  • Phenomenon: Retrieval sources for different engineering consulting documents cannot be distinguished in logs, and the source field of some retrieval results is empty. Cause: Unique source identifier parameters are not configured during the document upload phase, or log collection rules are not bound to metadata such as document compilation date and issuing unit, making it impossible to match the corresponding document during traceability.

How to Confirm the Configuration Is Correct

  • Upload a test engineering consulting research report document, perform a retrieval, and check the source field of the returned results. Confirm that each result is bound to metadata such as the document's issuing unit and compilation date.
  • Review the answer output by the large model. Confirm that no phrases from the original document's citation markers are included, and that the citation marker format meets the configuration requirements.
  • Check the system logs. Confirm that each retrieval request is associated with the corresponding document source identifier, with no missing or duplicate source information.
  • Adjust the Similarity threshold and Recall count parameters, and verify that the number and relevance of retrieval results meet expectations, with no excessive irrelevant content or too few valid results.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.