What This Category of Data Looks Like
Data for this category comes from asset management systems, procurement systems, financial fixed asset ledgers, and terminal management platforms. Update frequencies are monthly, quarterly, or annual. Regularly produced documents include asset ledgers, inventory sheets, loan and return forms, and scrap application forms. Core fields include asset number, name, specification model, asset owner, storage location, usage status, purchase date, and scrap date. Units are mostly physical measurement units such as unit, set, piece, etc. Most document structures use standardized table formats. Some fields that require manual entry have update delays.
What Constraints Do These Characteristics Impose on the "Source Citation and Traceability" Link?
Data sources are scattered and update cycles are long. When conducting citation traceability, clearly link to original record URLs from the corresponding systems to avoid confusing ledger versions from different cycles. Structured documents have a high degree of field standardization, but some manually entered fields have format differences. Match accurate field corresponding relationships during traceability. The use of physical measurement units requires traceability links to be associated with original documents that include unit information, to ensure asset information in responses matches original records. The time-consuming nature of account-physical verification requires traceability content to directly point to original data from the inventory time point, to avoid referencing expired asset status information.
How to Configure
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 token | Matches the single-block content length of documents such as asset ledgers, adapts to FastGPT v4.17.0 parameter calling rules, and avoids truncating core fields |
responseData | Include original document link fields | Ensures returned results carry original record addresses from asset management and procurement systems, meeting traceability requirements |
detail | Enabled | Fully displays core traceability fields such as asset number and asset owner, avoiding information loss |
| Single search limit | Top 6 entries | Covers associated information across multiple documents including monthly inventory sheets and loan/return forms, avoiding missing key traceability points |
| Maximum context | 3000–4000 characters | Adapts to the spliced length of multiple asset documents, ensuring integrity of traceability information |
Three Common Misconfigurations
- Phenomenon: AI responses do not include original document links from asset management or procurement systems, only displaying asset information summaries. Cause: The
responseDataparameter is not correctly configured, and return of original link fields is not enabled. - Phenomenon: Unable to accurately select asset documents from the corresponding knowledge base using variables, with no clear guidance for parameter filling. Cause: Field matching rules for configuration items are not clearly defined, and core identification fields such as asset number and asset owner are not associated.
- Phenomenon: Number of returned reference documents exceeds a reasonable range, with excessive redundant entries. Cause: No specific value is set for the single search limit, all matching results are returned by default, and valid entries are not filtered based on category document update frequencies.
How to Verify Successful Configuration
- Run a query containing an asset number, check whether returned results include links to the corresponding original documents.
- Review the number of reference entries in returned results, confirm alignment with the preset single search limit value.
- Verify that returned asset fields match those in the original ledger, with no missing or misaligned content.
- Run queries for inventory sheets with different update cycles, confirm returned traceability data matches records from the corresponding time point.
The values given 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 2026-10-19.