What Data Looks Like for This Category
Communication tower and infrastructure policy and regulatory basis data primarily comes from policy documents related to communication infrastructure construction, operation, and safety released by the Ministry of Industry and Information Technology and the Ministry of Housing and Urban-Rural Development, as well as internal operation and construction system documents from communication tower operating entities. The data update schedule aligns with official policy release cycles, with no fixed cycle. Most documents follow a chapter-based structure, including fields such as policy document number, issuing body, scope of application, clause details, and implementation requirements. Most fields are text-based, with units such as "item", "article", and "region". Document length varies widely, ranging from hundreds of words of special notices to tens of thousands of words of full system compilations.
What Constraints These Characteristics Impose on the Vector Models and Indexing Link
The long text span of policy documents requires vector indexing chunking logic to balance completeness and semantic coherence, avoiding truncation of core policy clauses. Some documents contain nested sub-clauses; chunking must preserve hierarchical relationships. Documents include metadata fields such as policy number, issuing body, and scope of application. This requires indexes to support both content semantic recall and precise metadata matching, improving the targeting of Q&A and avoiding recall of irrelevant policies. The lack of a fixed update cycle requires indexes to support incremental update capabilities, avoiding full index rebuilding on every update to reduce computing resource consumption. The mostly text-based field structure requires vector models to adapt to general text semantic understanding, with no special adaptation required for structured numerical fields. Vectors can be generated directly from text content.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Policy documents are mostly long texts; this range preserves clause integrity and avoids truncating core policy statements |
| Overlap Length | 150–200 characters | Reduces semantic gaps between chunks and improves recall coherence for long policy clauses |
| Similarity Threshold | 0.72–0.78 | Policy text has strict semantics; this range balances recall precision and coverage, calibrated via actual testing |
| Single Search Limit | Top 8 entries | Policy Q&A requires precise clause matching; too many results will interfere with answer generation |
maxToken | 16000 token | Supports the context length after splicing multiple recalled policy fragments, adapting to complete clause citation needs |
defaultToken | 4096 token | Matches the single-round input and output length of conventional policy Q&A, avoiding context overflow |
Three Common Mistakes
- Incomplete recalled policy clauses after indexing, only the opening fragment of content is returned. The cause is an excessively small chunk length setting, which truncates complete policy clause details.
- A "context length exceeded" error is returned during invocation. The cause is that the
maxTokensetting does not match the total length of recalled fragments, exceeding the model's supported range. - New content cannot be recalled normally after uploading updated policy documents. The cause is that incremental indexing logic adapted to the non-fixed update rhythm of policy documents is not configured, and full index triggering rules are incorrectly used.
How to Confirm Configurations Are Set Correctly
- Upload a typical long policy document, check that the chunk preview interface retains complete clauses with no forced truncation.
- Enter a specific policy-related question, verify that the number of recall results matches the single search limit setting.
- Initiate a complete Q&A invocation, confirm that no context length exceeded error messages appear.
- Upload updated policy documents, verify that incremental indexing works correctly and newly uploaded policy content can be recalled normally.
The values provided 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.