Document and Material Drafting for Urban Gas Utilities: Citation Source and Traceability

Document and Material Drafting for Urban Gas Utilities: Citation Source and Traceability

What the Data for This Category Looks Like

Business data for urban gas utilities primarily originates from internal operational ledgers, pipeline network operation and maintenance archives, user service documents, and safety specification documents. Data sources cover all business links including pipeline network inspection, gas installation applications, safety notifications, station operations, and user payments. Data is updated at three intervals: real-time (gas installation applications, payment records), daily (inspection logs, station operation records), and periodic (industry safety specification updates). Document structures include structured fields and unstructured text. Structured fields include pipeline network IDs, detected pressure values, user IDs, and more, with units mostly megapascals (MPa), cubic meters (m³), and household counts. Unstructured text mostly consists of inspection descriptions, rectification plans, and similar content.

Constraints on Citation Source and Traceability

Business data is scattered across multiple business systems. Traceability workflows must associate knowledge base shards from different business scenarios to avoid overly limited recall scopes. Real-time updated installation and payment data require traceability to support real-time vector recall, and cannot rely on fixed-period offline indexing. The presence of structured fields and dedicated units requires matching field identifiers and unit information during traceability to ensure cited content aligns with the relevant business scenario. Document length varies widely: short-text safety notifications need to retain complete citation content, while long-text pipeline reports need to retain contextual association to prevent loss of key business information during traceability.

Configuration Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended SettingRationale
quoteMaxToken800–1200 tokenCovers the citation fragment requirements for short-text safety notifications and long-text pipeline reports in urban gas utilities
Citation recall countTop 3–5 entriesFocuses on core cited content for gas business, avoiding interference from redundant information during generation
responseDataEnable structured metadata returnMatches the structured fields and dedicated units of urban gas business data, ensuring traceability accuracy
Knowledge base shard matchingMatch by business scenario groupAdapts to the characteristic that gas data is scattered across multiple business systems, narrowing the recall scope
detailEnable complete citation contentMeets gas business compliance requirements, fully displaying original cited document fragments
Maximum context length4000–6000 charactersCovers the contextual association requirements for long-text operation and maintenance reports

Three Common Configuration Errors

  • Phenomenon: An API call returns a 200 status code, but the content field is empty. Cause: The quoteMaxToken value is set too small, causing citation fragments to be completely truncated and making it impossible to generate valid content.
  • Phenomenon: Garbled characters or format confusion appear in the generated citation content. Cause: Structured metadata return is not enabled, and dedicated units and field identifiers of gas data are not matched, resulting in loss of format information from the original document.
  • Phenomenon: The source content cited from the knowledge base does not appear in the generated document. Cause: The detail parameter is not configured to enable complete citation return, only metadata is recalled without displaying original fragments.

How to Verify Proper Configuration

  • Send a test request, and check if the content field in the returned result contains the generated document content and includes citation source fragments.
  • Verify that the fields and units of the cited content are consistent with the standard format of urban gas business data.
  • Check that the number of recalled citations meets the preset business scenario requirements, with no redundant or insufficient entries.
  • Verify that citations of real-time business data (such as gas installation application records) are timely reflected in the generated document.

The values provided are common starting points and should be evaluated against your own specific samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.