What the data for this category looks like
Telecommunications engineering construction policy and regulatory basis data mainly comes from official documents released by the Ministry of Industry and Information Technology, provincial communications administrations, and the Ministry of Housing and Urban-Rural Development. These include industry management regulations, bidding specifications, engineering construction standards, and more. New policies are released on an irregular schedule, and existing policy documents are revised periodically per industry supervision requirements. Each document includes fields such as policy title, issuing authority, release date, clause number, and specific regulatory content. Clause numbers are structured as "Article X". Document lengths vary widely, from notification documents of a few hundred characters to comprehensive management regulations of tens of thousands of characters.
What constraints these characteristics impose on the vector models and indexing link
The clause-based structure of telecommunications construction policies requires indexes to retain clause-level granularity, to avoid splitting key compliance content. The wide variation in document lengths requires chunking parameters to be flexible, to adapt to policy texts of different lengths. The presence of metadata fields requires indexes to include both the main text and associated metadata, to support precise compliance retrieval. Additionally, policy updates do not follow a fixed schedule, so the configuration logic for incremental indexing must be adapted to avoid duplicate indexing or missing newly released policy content. The dense concentration of specialized terminology also requires vector models to have semantic understanding capabilities for telecommunications industry terms, to ensure the accuracy of retrieval matching.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the clause length of telecommunications policy documents, avoid splitting key compliance clauses |
| Overlap Length | 100–150 characters | Retain cross-chunk policy context, prevent clauses from being truncated |
maxToken | 8192 token | Adapt to the input limit of mainstream embedding models, complies with FastGPT v4.17.0 parameter specifications |
| Similarity Threshold | 0.75–0.85 | Filter low-match irrelevant policy clauses, ensure accuracy of compliance Q&A |
| Single Search Limit | Top 6 results | Ensure sufficient recall of policy basis, while avoiding context overflow |
defaultToken | Calibrated via actual testing | Adapt to video memory limits of locally deployed vector models, balance retrieval speed and accuracy |
Three common errors
- Phenomenon: The number of index entries in the dataset automatically increases without manual operation. Cause: No deduplication rules for incremental indexing are configured, resulting in multiple index entries being generated for duplicate policy document fragments.
- Phenomenon: When the vector model is configured as
text-embedding-3-large, the index building process stays stuck in the "indexing" state for a long time, and does not recover after restarting the service. Cause: No model call timeout parameter is configured, or the timeout threshold is set unreasonably, causing embedding requests to be interrupted, and no retry mechanism is enabled. - Phenomenon: The index building status stays displayed as "not ready" for a long time, with no clear error logs. Cause: The chunk length setting exceeds the input token limit of the vector model, causing the embedding request to fail without throwing a clear error.
How to confirm the configuration is correct
- Randomly select 3 different types of telecommunications policy documents, perform manual chunking tests, confirm that the chunking results fall within the preset length range, and no key clauses are truncated.
- Trigger an incremental index building task, check the match between the number of index entries and the number of source documents, confirm that no duplicate entries are generated.
- Submit a policy-related query, check that the similarity scores of the retrieval results fall within the preset threshold range.
- View the vector model call logs, confirm that the
maxTokenparameter configuration does not exceed the model's input limit, and there are no logs of timeouts or format 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.