Document and Material Drafting for Coal Chemical Industry: Citation Source and Traceability

Document and Material Drafting for Coal Chemical Industry: Citation Source and Traceability

What Data for This Category Looks Like

Data related to coal chemical industry document and material drafting primarily comes from internal documents including project feasibility study reports, process operation specifications, safety and environmental protection logs, material balance reports, and product quality inspection reports. Update frequency varies by document type:

  • Process specifications update every 6 months alongside technical retrofits
  • Safety logs update weekly
  • Material balance reports update daily per production shift

Most documents use a chaptered structure with structured fields: material name, batch number, test values, and units (tons, cubic meters, ppm, etc.). Some long documents exceed tens of thousands of characters.

Constraints on Citation and Traceability

The long text and structured field characteristics of coal chemical industry documents create three core constraints for citation and traceability:

  1. Long documents need sufficient token space to hold full citation content. An overly small token limit truncates core professional data.
  2. Structured fields such as batch numbers and test values require precise traceability. Effective traceability cannot rely solely on document titles.
  3. Frequently updated log data needs matching refresh cycles. Delayed refreshes make cited content inconsistent with current production data.

Additionally, coal chemical documents contain many specialized terms. Retrieved content must align closely with the target professional scenario.

Configuration Settings

Configuration ItemRecommended SettingRationale
quoteMaxToken8000–12000 tokenCore single documents in the coal chemical industry have relatively long average lengths, requiring space to accommodate complete professional citation content and avoid data truncation
responseDataEnable metadata return modeCoal chemical industry documents require traceability of structured fields such as specific material batches and test values, and metadata can directly associate with corresponding content
detailEnabledDetailed parameters of coal chemical professional documents need to be fully displayed; enabling this mode loads complete document metadata for traceability
Single retrieval limitTop 8–12 entriesProfessional information in the coal chemical industry is scattered across different chapters. Sufficient retrieval volume covers core production data and compliance requirements
Knowledge base refresh cycleFollow technical retrofit nodes + full refresh weeklyMatches the update rhythm of coal chemical industry process retrofits and production logs, ensuring cited content aligns with current production status

Three Common Misconfigurations

  1. After setting quoteMaxToken above 2000, the large language model does not cite any retrieved content. Root cause: The system prompt’s format constraints for long-token citations were not updated synchronously. The large language model cannot correctly parse or display citation sources.
  2. After associating the knowledge base, correct retrieved entries do not appear in the answer’s citation list. Root cause: The detail parameter was not enabled. The document’s structured metadata was not loaded, so the large language model cannot match or associate specific traceability information.
  3. After calling the FastGPT private knowledge base API, the returned response has no citation source field. Root cause: The responseData parameter was not configured to enable metadata return mode. Traceability information was not encapsulated in the interface response.

How to Confirm Proper Configuration

  • Upload a coal chemical industry process specification document, initiate a query for "material balance data for the synthesis section in this document", and check whether the answer includes specific metadata such as material name and batch number.
  • Adjust quoteMaxToken to 10000 token, initiate a long-text query, and confirm the cited content in the answer has the expected length with no truncation.
  • Call the FastGPT v4.17.0 API interface, and verify the returned responseData field includes document source, update time, and other metadata.
  • Manually trigger a full knowledge base refresh, initiate a query for "recent safety log data from XX workshop", and confirm newly uploaded log content is correctly retrieved and cited.

The values provided here are common starting points and should be measured against the reader's own 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.