Technical Documentation and Interface Q&A for Tender Document Preparation: Source Citation and Traceability

Each single tender project generates and updates the data for this category. Sources include tender announcements, tender documents, enterprise

What the data for this category looks like

Each single tender project generates and updates the data for this category. Sources include tender announcements, tender documents, enterprise qualification databases, and supplier quotation databases. Four core document types are produced regularly: tender letters, qualification certificates, business deviation tables, and technical deviation tables. Each document must strictly follow the format requirements of the corresponding tender project. The data update rhythm adjusts based on the progress of the single tender project. The corresponding data source updates each time qualification verification or clause response is completed. There is no unified fixed update cycle.

What constraints do these characteristics impose on source citation and traceability

Because data updates per project and must match tender formats exactly, citation traceability must bind to the current project’s exclusive data source. Static content from general knowledge bases cannot be reused. Business and technical deviation tables in documents must accurately correspond to tender clause numbers. Citation identifiers must strongly link to tender clause fields to avoid generalized citations. Errors directly carry the risk of tender invalidation. This requires accurate and traceable citation sources. No irrelevant or truncated citation content is allowed. Mixed calls across multiple data sources need clear distinction of identifiers for sources like qualification databases and tender documents. This helps tender specialists complete verification.

How to configure settings

Configuration ItemRecommended SettingRationale
quoteMaxToken800–1200 tokenMatches the length requirement of single-page response content for tender documents, avoiding format exceptions caused by truncated citation identifiers
responseDataEnabledEnsures the interface returns complete citation source fields for compliant labeling of tender documents
detailEnabledOutputs corresponding details between tender clauses and citation sources, to help business specialists quickly verify deviation situations
Maximum recall result countTop 8–12 entriesCovers the number of core response clauses for a single tender document, ensuring all relevant basis are retrieved
Citation source filteringLimited to current project data sourcesAvoids returning irrelevant historical tender data, ensuring citations only target the current tender project

Three common configuration errors

  • Garbled end quotation marks in conversation output that automatically revert to standard quotes afterward: The cause is a too-narrow quoteMaxToken configuration range, leading to format parsing exceptions after citation identifiers are truncated.
  • Returns irrelevant tender document citations when the query exceeds the scope of the current tender knowledge base: The cause is missing data source filtering rules, with no restriction to the current project’s exclusive data source.
  • The dialogue interface call does not return the cite citation ID field: The cause is that the detail configuration item is not enabled, so the interface does not carry the unique identifier of the citation source.

How to confirm the configuration is correct

  • Use FastGPT v4.17.0, initiate a query containing specific tender clauses, and check whether the output content carries the number identifier of the corresponding tender document.
  • Call the dialogue interface, and verify whether the returned data contains relevant fields for citation sources.
  • Trigger a query that exceeds the scope of the current tender knowledge base, and confirm that no irrelevant citation content is returned.
  • Adjust the quoteMaxToken parameter range, and verify that the format of the citation identifier remains stable, with no truncation or garbled characters.

The configuration values listed above are common starting points. Adjust them based on specific samples and use cases for each deployment.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.