Citation Sources and Traceability for Smart Due Diligence

What the Data for This Category Looks Like

Power grid equipment-related data primarily comes from factory inspection reports, grid operation logs, on-site inspection records, and preventive test documents. The data update rhythm follows the equipment lifecycle: factory and installation information is synced during the commissioning phase, status data is updated per quarterly and annual inspection cycles during the operation phase, and test data is updated per test cycles. Single documents are mostly structured tables or text with fixed fields, such as equipment ID, model, rated voltage, insulation resistance, and operating duration. Most units use international standard metrics, including kV, Ω, and hours.

What Constraints Do These Characteristics Impose on the Citation and Traceability Link

The multi-source and multi-cycle update characteristics of power grid equipment data impose four core constraints on the citation and traceability link:

Use unique equipment IDs as the association primary key to avoid mixing data for same-model devices from different commissioning batches.
Support mixed parsing of structured logs and unstructured test reports to extract standardized fields.
Verify consistency of parameter units to ensure referenced test data matches the metrology requirements of due diligence reports.
Associate data update timestamps to avoid referencing expired operation status data.

How to Configure the Settings

Configuration Item	Recommended Value	Rationale
`Recall count`	`Top 10-15 entries`	Single power grid equipment documents contain large amounts of information. Too many recalled entries will occupy the context window, while too few will fail to cover all relevant test and operation data.
`Similarity threshold`	`0.75-0.85`	Balance the need for precise matching of equipment IDs and parameters, and avoid including low-match irrelevant documents in the citation scope.
`Rerank result count`	`Top 5-8 entries`	Prioritize returning documents strongly associated with the target equipment, and reduce redundant citation content in due diligence reports.
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Large preventive test reports take a long time to parse, so sufficient processing time must be reserved.
`Cited Document Display`	`Enable and display document title and update time`	Power grid equipment data requires clear traceability cycles. Displaying update times can verify the timeliness of referenced data.
`maxContext`	`8000-12000 characters`	Adapt to the character length of single power grid equipment documents, and accommodate context information from multiple associated documents.

The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Phenomenon: Knowledge base citation documents are displayed in the debug page, but citation fields are empty on the official chat page. Cause: The Cited Document Display configuration item is not enabled, or the configuration is not synced to the official deployment environment.
Phenomenon: The text content extraction component cannot extract structured fields from knowledge base citations. Cause: The structured field extraction switch for knowledge base parsing is not enabled, or the target document is not parsed into a structured format.
Phenomenon: Cannot limit citation documents by a fixed count, only filter by similarity score. Cause: Only Similarity threshold is used as the sole recall control parameter, and the fixed value range for Recall count is not configured.

How to Confirm Proper Configuration

Initiate a due diligence query for a single known-numbered power grid equipment item, and check that the displayed citation document titles and update times in the returned results match preset traceability requirements.
Adjust the value of the Recall count parameter, and verify that the number of returned citation documents matches the expected set range.
Upload an expired operation document, initiate a query for the corresponding equipment, and confirm that it is not prioritized for recall or filtered out.
In FastGPT 4.8.10, test the text content extraction component to confirm that specified fields such as equipment ID and rated voltage can be extracted from structured documents cited in the knowledge base.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.