What the data for this category looks like
Data sources for telecommunications service intelligent due diligence reports include compliance disclosure documents from telecommunications service providers, public operational data from industry regulators, detailed customer telecommunications service contracts, network coverage parameter documents, and fault troubleshooting logs. Update cadences vary: monthly operational data updates monthly, quarterly financial reports are released quarterly, and regulatory compliance documents are updated irregularly. Document structures include qualification text, structured tariff and traffic fields, and unstructured operation and maintenance records. Fields include items with clear units such as service period (unit: month/year), peak bandwidth (unit: Mbps), unit tariff (unit: yuan/GB), and fault response time (unit: hour).
What constraints do these characteristics impose on the knowledge base retrieval and recall link?
Multi-source heterogeneous data sources require the retrieval system to support both structured field matching and unstructured text semantic retrieval, to avoid missing core information across different formats. Differences in update cadence require incremental sync tasks to adapt to data updates of varying cycles, to avoid resource consumption from full synchronization. Fields with clear units require associating unit keywords during retrieval for precise matching, to avoid mixing data from different tariff tiers. Long-text fault troubleshooting logs require retaining complete semantic units during segmentation, to avoid truncating key fault cause descriptions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 10-15 entries | Telecommunications service due diligence requires covering qualification, tariff, and operation and maintenance data. Too many results increase context load, too few will miss key compliance information |
similarity threshold | 0.75-0.85 | Telecommunications service data includes clear unit fields, requiring high precision to avoid irrelevant traffic data being mixed into qualification retrieval results |
segment length | 800-1200 characters | Adapts to the long-text structure of fault troubleshooting logs, avoids splitting key fault cause descriptions, while ensuring complete semantic units |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Telecommunications service compliance documents may include multi-page qualification scans, which take longer to parse, to avoid parsing failure due to timeout |
maxContext | 4000-6000 characters | Due diligence reports require integrating multi-dimensional retrieval results, and the context length must cover key information from at least three core dimensions |
incremental sync interval | Daily | Adapts to the update differences between monthly operational data and real-time service records, and batch synchronization reduces resource usage from full synchronization |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common errors
- Issue: A
text index required for $text queryerror occurs after starting the knowledge base. Cause: FastGPT was upgraded without rebuilding the full-text index, or the full-text index function was not enabled in the knowledge base configuration. - Issue: When configuring the
knowledge base searchnode in a workflow to reference a knowledge base via variables, the execution returns an error indicating no matching knowledge base. Cause: The variable type for the knowledge base ID was not defined in the workflow input parameters, or the correct knowledge base ID parameter was not passed during API calls. - Issue: In FastGPT 4.8.17, knowledge base retrieval steps take 4-5 seconds. Cause: The
recall countwas set too high, the vector index cache configuration was not enabled, or the document segment length was too long, increasing single-document parsing time.
How to confirm the configuration is complete
- Log in to the FastGPT backend, enter the management page of the target knowledge base, check the document parsing status, and confirm that all uploaded telecommunications service due diligence documents show parsing success with no failed error prompts.
- In the test panel of the workflow editor, enter a query term that includes telecommunications service field units, run the test case, and verify that the returned retrieval results include matching field content.
- Use an API calling tool to send a request that includes the query term and knowledge base ID, and verify that the number of returned retrieval results matches the configured
recall count. - View the knowledge base sync monitoring panel, confirm that incremental sync tasks run according to the preset interval, with no consecutive failed records.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.