What Data for This Category Looks Like
This category’s data originates from the road transportation administration system, the national public service platform for dynamic road transport vehicle information, and the vehicle and practitioner database. Daily processed documents include business license applications, vehicle technical files, driver qualification materials, safety production management systems, and road transport business licenses. Data updates occur daily. Core fields cover business entity information, vehicle qualifications, practitioner qualifications, safety management system clauses, license numbers, and more. Only structured qualification information and unstructured text content related to business processing are retained.
Constraints Imposed on Vector Models and Indexes
This category’s data sources are scattered and updated daily. Indexes must support incremental synchronization to avoid repeated full-volume processing. Documents contain both structured qualification information and unstructured system text. Chunking logic must be adapted for different content types to prevent loss of key qualification fields due to long text truncation. Core business fields such as license numbers, vehicle qualifications, and practitioner qualifications require precise matching. Index recall must balance text semantics and field relevance. The volume of data indexed per batch must be controlled to align with the daily update rhythm. This prevents index construction timeouts from impacting the response efficiency of consultation and response.
Configuration Settings
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the length of unstructured system text and structured qualification documents in this category, avoiding truncation of key qualification fields |
| Overlap Length | 100–150 characters | Connects semantics of adjacent chunks, preventing loss of cross-chunk qualification association information |
| Similarity Threshold | 0.75–0.85 | Precisely matches qualification and license-related content, avoiding low-match results that interfere with consultation and response |
| Single Search Limit | Top 6 results | Balances recall coverage and response speed, meeting the real-time needs of consultation and response |
maxToken | 4000 token | Adapts to the total length of documents in this category, ensuring complete loading of key content from license applications and system text |
| Reranking | Enabled | Optimizes recall result ranking, highlighting content directly related to business processes and qualification requirements |
Three Common Misconfigurations
- Phenomenon: An error "Data shard exception" is reported during index construction, with a 500 status code returned. Cause: The daily incremental update rhythm of this category is not accounted for. Attempting full indexing of ultra-large batches of road transportation administration data exceeds the system cache threshold.
- Phenomenon: Irrelevant traffic law enforcement content appears in search results, and some business fields are empty. Cause: Matching rules are not configured for the business fields of this category. Associated documents unrelated to road transport business licenses are recalled.
- Phenomenon: Timeout occurs when calling an external index model, returning "Request timed out". Cause: The
defaultTokenparameter is not adjusted to fit the loading requirements of long documents in this category. The total token amount of a single request exceeds the external model's limits.
How to Verify Correct Configuration
- View the index synchronization log to confirm that daily incremental updated road transportation administration data has been successfully written to the index, with no failed entries.
- Enter test queries such as "Road transport business license application requirements", and check whether recall results include documents related to license applications and qualification requirements.
- Adjust the similarity threshold, then verify whether the match degree of recall results aligns with the expectations of the business scenario. No fixed value is required.
- Call the external index model to confirm that the number of returned results matches the single search limit setting.
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.