What the data for this category looks like
The core data for this category comes from highway maintenance management systems, bridge and tunnel monitoring systems, road administration patrol systems, and traffic flow monitoring data, with a daily update frequency. Documents generated daily include maintenance plans, patrol logs, disease disposal orders, road construction permits, and road property damage compensation forms. Document fields typically include facility location identifiers, operation cycles, permit numbers, disposal results, and other information. Some documents are associated with specific road section stake numbers, maintenance supply usage, and related details.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Multi-source data updated daily results in fast document growth and a total volume that grows continuously as road sections expand. The retrieval and recall link must support precise filtering by fields such as road section stake numbers and document types, to avoid recalling irrelevant content. The presence of structured fields like stake numbers and permit numbers requires retrieval logic to support field-level matching, improving retrieval targeting. Daily documents are mostly standardized work orders and permit-style documents. Retrieval should prioritize recalling reference documents of the same type in the same scenario. The system must also adapt to high-frequency invocation scenarios such as patrols and work orders, to avoid retrieval delays that disrupt business processes.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the semantic matching accuracy required for standardized road administration documents, avoiding recall of maintenance data from unrelated road sections |
limit | Top 8 entries | Balances context length and reference information completeness, adapting to the reference needs of single-document drafting |
searchMode | vector | Prioritizes matching semantically related maintenance documents, combined with reranking logic to optimize ranking accuracy |
usingReRank | Enabled | For multi-source heterogeneous road administration documents, reranking improves the display priority of highly relevant documents |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands retrieval keywords to cover associated expressions for different document types such as maintenance plans and patrol logs |
collectionIds | Bind the knowledge base collection for the corresponding road section according to the business scenario | Accurately recalls documents related to road property and rights for the specified road section, avoiding interference from cross-section data |
Three common configuration errors
- Issue: Retrieval and recall returns road construction permit documents from non-specified road sections, and the stake number field does not match the target. Cause: The
collectionIdsfor binding the knowledge base collection of the corresponding road section is not configured, or no filtering conditions are specified in the retrieval parameters. - Issue: Single retrieval takes more than 10 seconds, and a page load timeout prompt appears. Cause: The number of recalled entries specified by
limitis not restricted, orusingReRankis not properly configured, causing too many documents to participate in semantic matching and sorting. - Issue: Custom retrieval prompts or reference templates cannot be edited, and only basic parameters can be adjusted. Cause: The current FastGPT version is lower than v4.17.0. Upgrade to FastGPT v4.17.0 or later to unlock advanced configuration functions.
How to confirm the configuration is correct
- Submit a retrieval request for a specific road section stake number, and check whether the stake number field of the recalled documents matches the request parameters.
- Calculate the average retrieval time for 10 consecutive requests, adjust the configuration of
limitorusingReRankto bring the time within the response requirements of the business scenario. - Check whether the configuration panel displays edit entries for custom prompts and reference templates, confirming that the version has been upgraded to FastGPT v4.17.0.
- Verify that in multi-knowledge base scenarios, only documents bound to the specified
collectionIdsare recalled, and no irrelevant data from cross-collections appears.
The values provided 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.