What the data for this category looks like
The service inquiry and response data for nuclear power operations mainly comes from official operating procedures, equipment maintenance manuals, emergency response plans, and industry regulatory safety standards. Data updates are adjusted in line with regulatory requirements, and daily operation records are archived via monthly synchronized updates. Most documents are structured text, containing fields such as chapter numbers, unique equipment identifiers, operation steps, and safety thresholds. Units include megapascals, degrees Celsius, operating hours, and others. The length of individual documents varies widely, with some emergency response plans reaching tens of thousands of characters.
What constraints these characteristics impose on the "knowledge base retrieval and recall" link
The structured nature of nuclear power operation data requires that retrieval prioritize matching precise fields such as equipment numbers and chapter numbers, to avoid generalized recall of irrelevant content. The wide variation in individual document length means that long document chunking must balance context integrity, to avoid splitting continuous operation steps or safety threshold explanations. The data update rhythm is adjusted according to regulatory requirements, so support for incremental synchronous updates to the knowledge base is needed to prevent recalled content from lagging behind the latest specifications. In addition, some documents contain strict safety parameters; recalled results must accurately retain the association between units and numerical values, to avoid information distortion that could affect service decision-making.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Nuclear power documents involve safety parameters, so low-similarity irrelevant results must be filtered to avoid incorrect recall of non-matching content |
limit | Top 8 entries | Nuclear power service inquiries require a balance between comprehensiveness and readability; too many results will exceed the processing limits of frontline operation and maintenance personnel |
searchMode | Precise matching priority | Most nuclear power documents contain fixed equipment numbers and chapter numbers, so precise matching can quickly locate corresponding procedure entries |
usingReRank | Enabled | Contextual fragmentation may occur after long document chunking; re-ranking can optimize the relevance ranking of results and improve accuracy |
datasetSearchUsingExtensionQuery | Enabled | Service inquiries often contain vague expressions; extended queries can cover procedure content with synonymous expressions |
collectionIds | Fill in according to the specified equipment set | Limit the retrieval scope to the corresponding operation and maintenance document set, to avoid recalling equipment content from unrelated areas |
Three common errors
- Symptom: When parsing long nuclear power operation and maintenance documents, operation steps are truncated, and complete process descriptions cannot be obtained. Cause: Paragraph depth-related parameters were not configured correctly, causing parsing of long paragraphs to terminate early during chunking.
- Symptom: After uploading CSV-format equipment operation and maintenance records, corresponding entries cannot be matched during retrieval. Cause: The knowledge base field mapping was not configured correctly, or the CSV format parsing option was accidentally disabled.
- Symptom: Retrieval results do not include the latest maintenance records for the specified equipment. Cause: The corresponding
collectionIdswere not specified, causing the recall scope to cover unrelated equipment document sets.
How to confirm the configuration is complete
- Upload a single nuclear power operation procedure document, perform a retrieval test, and check whether the returned results include the equipment numbers and operation steps in the document.
- View the knowledge base parsing logs to confirm that the chunk length of long documents meets expectations, and no unnecessary paragraph truncation has occurred.
- Adjust the
similarityparameter range, and verify whether the relevance of the recall results meets the retrieval requirements for safety documents. - Upload incrementally updated operation and maintenance records, and confirm that new content can be retrieved after the knowledge base synchronization is completed.
The values provided 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.