Reference only; verify against the target FastGPT release and deployment documentation.
What Data Looks Like for This Category
Daily documents for administrative service item catalog and service guide maintenance include basic administrative service item catalogs, implementation lists, service guides, standard material catalogs, flowcharts, and frequently asked questions. Data sources include the national basic administrative service item catalog, administrative licensing item list, power and responsibility list, and local administrative service item databases. Update frequency is monthly. Individual document lengths vary widely; some service guide texts are lengthy. Fields typically include item identifiers, implementing entities, acceptance conditions, application material details, process nodes, and more.
Constraints Imposed on Vector Models and Indexing
The monthly update frequency requires indexes to support efficient full synchronization and incremental update mechanisms, to avoid discrepancies between index content and the latest administrative service items caused by update delays. The mixed structure of multiple document types requires chunking strategies adapted to different text lengths and semantic units. For example, long-text service guides and short-text frequently asked questions require differentiated chunking rules. The multi-field document structure requires vector modeling to prioritize core business fields, to avoid interference from non-key fields on recall accuracy. It also requires support for filtering capabilities based on exclusive administrative service item identifiers, to prevent confused recall of cross-regional and cross-level items.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapted to the long-text structure of service guides and implementation lists, avoiding semantic association disruption caused by single-block content fragmentation |
| Overlap Length | 100–200 characters | Retains cross-chunk context, preventing loss of association for continuous content such as service processes and application materials when split |
maxToken | 4096 token | Matches the input limit of most general vector models, adapted to core field combinations of administrative service documents |
| Similarity Threshold | 0.75–0.85, calibrated via actual testing | Distinguishes precise matching and fuzzy association for administrative service items, avoiding confused recall between different items |
| Single Search Limit | Top 8 entries | Covers associated content for common service scenarios, avoiding excessive redundant information interfering with response accuracy |
| Question Optimization | Enable item keyword completion | Matches standard wording for administrative inquiries, improving matching accuracy of vector recall |
Three Common Misconfigurations
- Vector recall results include content from non-local administrative service items. Cause: No filtering of indexes based on exclusive identifier fields of the local administrative service item database, leading to incorrect recall of cross-regional and cross-level items.
- Unable to connect to a privatized vector index storage service. Cause: External index connection parameters were not configured according to platform requirements, resulting in failure to properly mount the index service, covering scenarios of local deployment and cross-storage migration.
- Application material fields in service guides are not fully recalled. Cause: Chunk length was set too small, splitting continuous application material entries into multiple chunks, leading to broken vector associations.
How to Verify Proper Configuration
- Manually upload a single local administrative service guide document, perform a vector recall test, and check whether the returned results include core field content of this document.
- Trigger a monthly full index update task, and check whether the task log has no abnormal records such as timeouts or empty fields.
- Simulate administrative inquiry wording, test the number of recall results under different similarity thresholds, and confirm compliance with preset matching accuracy requirements.
- Check the storage usage of the index, and confirm compliance with the total data volume threshold for current administrative service documents.
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 2026-09-28.