Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this category looks like
Declaration materials and case review data for basic telecommunications operations mainly come from internal business support systems, archive management systems, and OA office platforms. The data update rhythm follows business process changes: it updates in real time as individual declarations or cases are submitted, and monthly bulk imports of archived historical cases are conducted. Documents are a mix of structured and semi-structured content, including declaration subject information, business parameters, approval node records, and transcribed attachment text. Fields cover declaration number, business type, processing deadline, review opinions, and telecommunications professional metrics such as MHz, base station count, user scale, and duration.
What constraints do these characteristics impose on the "vector models and indexes" stage
Mixed-structured documents require the chunking step to distinguish between structured fields and text content, to avoid incorrect embedding of field values into vector semantics and harm subsequent matching accuracy. Real-time updated declaration materials require indexes that support incremental updates, to avoid full reindexing on every import and reduce processing efficiency overhead. Content containing telecommunications terminology requires vector models adapted to industry semantics, to prevent semantically confusing matching results. Single cases featuring multi-page transcribed text require reasonable control of chunk length to preserve contextual semantic integrity and avoid content breaks.
Configuration Guidelines
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | The length of single-segment business descriptions in basic telecommunications declaration materials is concentrated; this range avoids semantic fragmentation from overly short chunks or reduced vector accuracy from overly long chunks |
| Overlap Length | 100–150 characters | Cross-chunk approval node records need to retain contextual connections to ensure the coherence of review logic |
| Similarity Threshold | 0.72–0.85 | This range is needed to distinguish similar declaration numbers and business types, to avoid mismatching cases that are similar but belong to different scenarios |
| Single Search Limit | Top 10 results | Case review only needs to reference similar typical historical cases; too many results will increase the screening burden for review personnel |
defaultToken | 2000 | The total context length of declaration materials usually falls within this range, ensuring complete loading of associated content required for review |
maxToken | 4000 | Total token limit for a single review request, to avoid exceeding the model's processing capacity |
Three Common Misconfigurations
- Phenomenon: After importing declaration materials, automatically generated vector blocks contain redundant approval node logs, with unnecessary content outside core business descriptions. Cause: No chunk filtering rules were configured, chunks were generated directly from full document content, and core review content required by users was not retained.
- Phenomenon: Timeout errors occur during bulk import of historical cases, and import progress stalls. Cause: Incremental indexing mode was not enabled, full reindexing was performed on every import, exceeding the single-processing limit of
defaultTokenand causing system timeout. - Phenomenon: Similarity matching results return a large number of highly similar declaration records of the same type, making it impossible to distinguish specific business scenarios. Cause: The similarity threshold was set too low, failing to accurately match case content with significant business differences.
How to Verify Proper Configuration
- Upload a typical single base station construction declaration material, check the chunk preview interface, confirm that chunk length falls within the preset range, and core business parameters and review opinions are not split.
- Perform a small-scale bulk import test for historical cases, check system logs, confirm there are no timeout errors, and incremental indexing mode triggers normally.
- Input a simulated review query, check the number of recalled results, confirm it complies with the single search limit configuration.
- Check the system storage monitoring panel, confirm that vector storage usage aligns with preset resource planning ranges, and no abnormal growth occurs.
The values provided here 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.