What this category of data looks like
Policy and regulatory basis data for engineering consulting supervision primarily comes from supervision specifications, bidding supervision rules, and local engineering supervision management measures issued by the Ministry of Housing and Urban-Rural Development and provincial and municipal housing authorities. This data is updated alongside new policy releases and quarterly regulatory updates. Most documents are long texts with document numbers, issuing entities, and effective dates. Some include tables of supervision process nodes. Fields include policy number, applicable engineering type, original clause text, and some are linked to compliance requirements for corresponding supervision projects.
What constraints do these characteristics impose on the vector model and indexing workflow
Engineering supervision policy documents are mostly long texts with structured tables, leading to uneven vector dimension distribution across individual documents. Adjust chunking strategies to accommodate long paragraphs and table content. Policy documents are linked to compliance requirements for supervision projects, so metadata such as document numbers and effective dates must be retained for precise recall. Indexing must embed metadata fields synchronously. Policy updates do not follow a fixed cycle, so incremental indexing trigger rules must be configured to avoid excessive resource usage from full indexing. Some documents contain industry-specific terminology, so the vector model must be adapted to the semantic characteristics of the engineering supervision field.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Accommodates long paragraphs and table splitting needs of supervision policy documents, prevents semantic breaks in single chunks |
| Overlap Length | 100–150 characters | Preserves cross-chunk context association, ensures complete recall of continuous semantics for policy clauses |
| Similarity Threshold | 0.72–0.78 | Filters low-match irrelevant policy clauses, adapts to semantic matching accuracy for engineering supervision domain terminology |
defaultToken | 4096 | Matches input length limits of most vector models, adapts to chunked content of policy documents |
maxToken | 8192 | Accommodates multiple recalled policy segments and context, meets input requirements for long-text Q&A |
| Single Search Limit | Top 8 entries | Covers coverage of commonly used supervision policies, avoids retrieving excessive redundant content |
Three Common Mistakes
Reference only; verify against the target FastGPT release and deployment documentation.
- Issue: After uploading Excel-format policy attachments, the indexing results after vectorization do not match the original text, and some clauses are missing. Cause: No column mapping rules for Excel tables were configured, resulting in structured content not being properly split and embedded.
- Issue: After enabling the knowledge base search citation merging function, the citation sources in returned results are disorganized, and irrelevant policy document numbers appear. Cause: No matching rules for citation metadata were set, leading to incorrect merging of metadata from different chunks.
How to Confirm Proper Configuration
- Upload a typical supervision policy document, check the chunk preview interface, confirm that chunk lengths fall within the preset range, and there are no semantic breaks.
- Submit a query targeting specific supervision compliance clauses, verify that the similarity scores of retrieved results meet the preset matching accuracy requirements.
- Perform an incremental indexing operation, check the indexing logs, confirm that newly uploaded policy documents are correctly identified and embedded.
- Enable the search citation merging function, verify that the citation metadata in returned results matches the original document numbers and release dates.
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.