What the data for this category looks like
This category’s daily data comes primarily from highway maintenance management systems, bridge and tunnel monitoring systems, road patrol systems, and traffic flow monitoring data. Updates occur daily. Typical documents include maintenance plans, patrol logs, defect disposal forms, road construction permits, and road property damage compensation forms. Most use structured table format, with table headers containing fields such as road section pile number, defect type, disposal status, and permit number. Some documents include quantitative unit information such as location coordinates and area.
What constraints these characteristics impose on the vector model and indexing workflow
Structured business data updated daily has a large total volume. A single table often contains thousands of rows. Too coarse chunking granularity will lose key details of individual work orders and patrol records. Process documents such as road construction permits and compensation forms include continuous step fields. These require retaining link association information and cannot be split excessively. The data also includes quantitative fields such as location and area. Vector indexes must support mixed matching of structured fields and text content to avoid losing business context during retrieval. They must also comply with the maxToken input limit to prevent single chunk content from exceeding the model's carrying capacity. Large file uploads generate a high number of chunks, which can easily trigger single-chunk vectorization exceptions.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the content length of individual patrol records and defect disposal forms, avoids including too many unrelated business details in a single chunk |
| Overlap Length | 100–200 characters | Retains contextual association between adjacent chunks, prevents steps in process documents from being split apart |
maxToken | 1024 token | Matches the input limits of current mainstream vector models, adapts to single-chunk content of most business documents |
| Similarity Threshold | 0.75–0.85, calibrated via actual testing | Distinguishes matching accuracy for different defect types and process links, fits the road property management business scenario |
| Single Search Limit | Top 8 entries | Covers associated process steps for individual work orders, avoids excessive retrieval results interfering with business judgment |
| Retry Count | 3 times | Provides temporary fixes for single-chunk vectorization exceptions, reduces failure rates for large file uploads |
Three common configuration mistakes
- Phenomenon: After importing over 10,000 rows of Excel-format business data, chunking granularity becomes too large, with a single chunk holding dozens of unrelated patrol records. Cause: The chunk length configuration was not adjusted. General default parameters were used, which do not fit the short length of individual business records for this category.
- Phenomenon: When uploading a road construction permit document containing thousands of words, a prompt about exceeded input length appears during vectorization. Cause: Single-chunk content length was not adjusted to comply with the
maxTokenlimit. Long documents were split directly without adaptive processing. - Phenomenon: After uploading a structured file larger than 10M, some chunks display a "vectorization exception" status. Repeatedly clicking the retry button fails to restore normal operation. Cause: Retry parameters adapted to large file chunks were not configured. Chunk content format integrity was not verified, leading to abnormal chunks that cannot be automatically fixed.
How to confirm the configuration is correct
- Import typical business documents such as individual patrol logs and defect disposal forms. Check the chunk preview interface to confirm that a single chunk contains only individual or closely related business information.
- Upload a road construction permit document containing thousands of words. Verify that no input length exceeded prompt appears during vectorization.
- Upload batch Excel files larger than 10M. Review the chunk list to confirm that the number of abnormal chunks is small, and exceptions resolve after retrying.
- Simulate a query request for a business handling process. Confirm that retrieval results match the corresponding process links and business documents.
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.