What Data Looks Like for This Category
Data for this category originates from asset management systems, procurement systems, financial fixed asset modules, and terminal management platforms. Teams generate daily documents including asset ledgers, inventory sheets, loan and return forms, and scrap applications. Core fields include asset number, user, storage location, purchase date, and ownership status. Common units are units, sets, and pieces. Data updates occur monthly, quarterly, or annually. Regular account-physical verification and user confirmation steps are required. Original documents mostly use structured table or standardized form formats.
Constraints Imposed on Citation Source and Traceability
Data sources for this category are scattered, and update cycles are fixed. Citation and traceability workflows must match document formats and fields from different systems. Slices of structured documents such as asset ledgers must retain core identifiers like asset number and user. Without these identifiers, precise association with original records is not possible. Most update frequencies are monthly or longer, so traceability workflows must verify that document update times match the inventory cycle. This avoids citing expired data. The core goal is account-physical verification and compliance audits, so traceability results must directly link to the storage path of original documents. Traceability cannot rely solely on vague knowledge base fragment matching.
This configuration is based on FastGPT v4.17.0.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum citation token count | 800–1200 token | Matches the character length of a single asset ledger record, fully retains core fields such as asset number and user |
| Returned data format | Include asset number, document storage path | Associates traceability results with original documents, meets compliance audit and account-physical verification requirements |
| Detail display toggle | Enabled | Displays complete fragments of original documents, supports direct viewing of original file content before slicing |
| Single search limit | Top 3 | Adapts to the number of asset entries for monthly inventory, avoids redundant results interfering with verification work |
| Timeout threshold | 600 seconds | Adapts to delays when retrieving original documents across asset management systems, ensures normal completion of the traceability process |
Three Common Mistakes
- Phenomenon: Only text fragments are displayed in the reply, and online preview details of the corresponding original file cannot be viewed. Cause: The detail display toggle is not enabled, and the associated jump logic for original documents is not activated, so the original document before slicing cannot be retrieved.
- Phenomenon: A string of red numeric error messages is returned during calls. Cause: The returned data field structure is not configured correctly, core identifiers such as asset number and document storage path are not added to returned items, so the system cannot complete positioning and matching of original documents.
- Phenomenon: It cannot be confirmed which original asset document the output content originates from. Cause: The document storage path is not included in the returned data, so the storage location of the original document cannot be traced.
How to Confirm Configurations Are Set Correctly
- Initiate a query containing a specific asset number, check whether the reply includes the corresponding original document storage path information.
- Click the document link in the reply, verify whether it jumps to the original file page before slicing.
- Adjust the single search limit configuration, observe whether the number of returned traceability results matches the asset quantity requirements of the current inventory cycle.
- Simulate a scenario of retrieving documents across systems, verify whether the traceability process is completed within the set timeout threshold without abnormal errors.
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 2026-10-19.