What the Data for This Category Looks Like
The internal office data for basic telecommunications operations primarily comes from operation and maintenance ticket systems, internal process document libraries, employee service manuals, billing logs, and network fault reports. Data updates fall into three categories: real-time (operation and maintenance alerts, new tickets), daily (billing settlement), and scheduled (policy document updates). Individual documents include dedicated fields: ticket number, fault type, bandwidth unit (Mbps), processing duration (hours), publishing department, and effective date. Some documents contain multiple sections of specialized technical expressions.
Constraints on Vector Models and Indexing
Real-time ticket data volume is high, requiring adaptation to incremental indexing logic. Dense specialized terminology requires selecting a vector model suited to the domain. Document length varies significantly, requiring flexible adjustment of chunking parameters. Numeric fields with units are included, so field metadata must be retained to avoid semantic confusion.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the paragraph length of operation and maintenance tickets and process documents, preventing fragmentation of information within a single chunk |
| Overlap Length | 100–150 characters | Retains contextual connections across chunks, such as the continuity of fault handling steps |
defaultToken | 8192 | Adapts to the token limit of common specialized documents, preventing truncation of long text |
maxToken | 16384 | Accommodates integrated multi-chunk document content, meeting contextual requirements for complex fault troubleshooting |
| Similarity Threshold | 0.72–0.78, calibrated via actual testing | Distinguishes general terminology from telecommunications specialized terminology, reducing false matches |
| Single Search Limit | Top 10 results | Covers associated tickets for multi-node faults, ensuring comprehensive recall |
Three Common Misconfigurations
- Indexing tasks remain in the "Indexing" state for a long time with no progress updates. Cause: Failure to adjust chunk length or configure a reasonable value for
defaultToken, leading to excessive memory or token usage. - No recall results after custom indexing configuration is applied. Cause: Dedicated fields such as ticket number and fault level are not included in the indexing scope, or the similarity threshold is set too high to filter valid results.
- "Token limit exceeded" error is returned when connecting a local vector model. Cause: Failure to adjust
maxTokento a value matching the current document length.
How to Verify Successful Configuration
- View the vector model call logs in the FastGPT backend to confirm that the values of
defaultTokenandmaxTokenmeet the length requirements of the current documents. - Manually import a test operation and maintenance ticket, wait for indexing to complete, then perform a search. Confirm that the recall results include dedicated fields and the number of results matches the single search limit setting.
- Adjust the similarity threshold, compare recall results across different thresholds, and confirm that matching results align with business screening logic.
- Check the connection status of the vector database to confirm no timeouts or connection errors.
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.