What Data for This Category Looks Like
Data sources include industry regulatory documents issued by the Ministry of Industry and Information Technology and the State-owned Assets Supervision and Administration Commission, basic telecommunications service management specifications, and internal compliance system documents of telecommunications operators. Update cycles align with adjustments to national and industry regulatory policies. Most documents are normative long texts, with fixed fields including clause numbers, effective dates, and scope of application. Individual document lengths vary widely, with no unified fixed format. Some documents contain cross-chapter related clauses, which require combining context to fully understand policy requirements.
Constraints Imposed on Vector Models and Indexing Links
The characteristics of basic telecommunications policy documents create multiple constraints for the vector models and indexing link. The prevalence and wide variation of long texts require preserving clause integrity during chunking, avoiding splitting independent regulatory clauses to prevent semantic breaks. Document structures that include fields such as effective dates and scope of application require indexes to support filtering search results by fields, returning only currently effective policy content. The non-fixed update rhythm requires support for an incremental indexing mechanism, only performing vectorization updates on newly added or modified documents to avoid resource consumption from full reprocessing. The normative text characteristics require vector models to adapt to semantic understanding of official document texts, ensuring accurate semantic matching for policy clauses.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the clause length of basic telecommunications policy documents, avoid splitting independent regulatory clauses |
| Overlap Length | 100–200 characters | Retain contextual association between adjacent clauses, ensure semantic coherence |
maxToken | 8192 token | Adapt to long text input of policy documents, meet vectorization requirements for complete clauses |
| Similarity Threshold | 0.75–0.85 | Filter low-match non-policy results, ensure relevance of retrieved content |
| Single Search Limit | Top 10 results | Control the number of search results, avoid context overload |
| Maximum Context | 4000–6000 characters | Limit the context length passed to the large model, balance answer accuracy and response speed |
Three Common Misconfigurations
- Phenomenon: Text chunk loss occurs when chunk length is set to 3000 characters. Cause: Long text splitting does not adapt to the clause boundaries of basic telecommunications policy documents, exceeding the critical threshold of chunk processing, resulting in partial content not being correctly split and included.
- Phenomenon: Rate limit errors trigger during vectorization. Cause: Parallel processing thread counts are not adjusted, and vectorization operations run simultaneously on a large number of long documents, exceeding interface call limits.
- Phenomenon: Question and answer pair extraction tasks remain in the indexing state for extended periods and cannot complete preparation. Cause: Incremental indexing mechanism is not configured, and full indexing processing of large volumes of historical policy documents consumes excessive resources, causing task blocking.
How to Confirm Proper Configuration
- Run a chunking test on a single long policy document, verify that the number of split chunks matches expectations and no content is lost.
- Simulate multi-document vectorization requests, monitor for rate limit errors to confirm thread count configuration is reasonable.
- Submit a policy query targeting a specific effective date, confirm that search results only return content within the specified time range.
- Compare search response performance before and after adjusting configurations, confirm that the configuration fits the business scenario requirements.
The values listed are common starting points and should be evaluated against the applicable samples for the target deployment scenario.
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.