What the data for this category looks like
The data used for document and material drafting in power generation equipment manufacturing mainly comes from project-level design drawings, component process documents, factory quality inspection reports, and industry compliance standard documents. Data is updated per project batch. The size of a single project’s document collection ranges from dozens to hundreds of copies. The document structure consistently includes fields such as project number, component model, technical parameters, inspection date, and compliance clauses. The units for technical parameter fields are mostly megawatts (MW) and operating hours. Material grades must match national standard grade codes.
What constraints these characteristics impose on citation sources and traceability
Documents for power generation equipment manufacturing often involve compliance requirements. Quoted standards or parameters must match the currently valid version. Otherwise, the compliance validity of the document will be compromised. Individual documents are lengthy, and contain a large number of professional terms and model codes. Improper interception of quoted fragments will make traceability information unable to correspond to specific components. There are slight differences in document field formats across different projects. Without unified mapping, citation matching errors will occur. Additionally, data update frequency fluctuates with project progress. A knowledge base that is not updated in time will lead to expired citations.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
quoteMaxToken | 8000–12000 token | Core documents for power generation equipment are mostly 5000–10000 characters long, so this setting must accommodate complete quoted parameter fragments |
responseData | Return only citation source ID and original fragment | Avoid the large language model splicing redundant retrieval metadata, and ensure generated documents only retain necessary traceability information |
| Maximum context length | 150000–200000 characters | Cover all associated documents for a single project, and ensure complete citation sources |
| Reranking | Enabled, take top 3 results | Prioritize matching core component models and compliance clauses, and filter non-associated retrieval results |
| Single search limit | Top 8 recalled results | Cover multiple types of documents including design, quality inspection, and compliance, and avoid missing key citation sources |
detail | Enabled, retain original fields | Fully display dedicated fields required for traceability such as project number and component model |
Three common mistakes
- Phenomenon: Unrelated random citation IDs appear in generated documents. Cause: The dedicated knowledge base source for power generation equipment is not bound, causing the large language model to call irrelevant general data to generate forged citations.
- Phenomenon: The output content contains the phrase "Citation Marker: [1]". Cause: The marker prefix configuration returned by the knowledge base is not disabled, and the original retrieval identifier is directly spliced without format cleaning.
- Phenomenon: Generated compliance documents reference expired industry standards. Cause: No knowledge base version filtering rules are configured, causing recall of outdated documents with lower update frequency.
How to confirm the configuration is correct
- Upload a factory quality inspection report for power generation equipment, submit a request to draft a compliance acceptance document, and verify that the returned citations point to specific chapters and fields of this document.
- Check the FastGPT v4.17.0 system call log to confirm that the
quoteMaxTokenparameter value falls within the configured range. - Generate a document, check that there are no extra citation marker phrases, and that all citation IDs correspond one-to-one with dedicated document entries in the knowledge base.
- Attempt to call a retired old version of an industry standard document, confirm that the system cannot recall this version of content, and only returns citations for the currently valid version.
The values provided here are common starting points and should be evaluated 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.