What Does the Data for This Category Look Like?
Building construction engineering research report data mainly comes from public policy documents issued by housing and urban-rural development authorities, industry reports released by construction industry associations, feasibility study and completion documents publicly disclosed by construction units, and professional construction journals. Updates follow quarterly or annual cycles. Some special reports are updated when corresponding projects are completed. Most document structures include sections such as project overview, cost details, material usage, construction period, and compliance basis. Fields cover building area, construction and installation costs, steel usage, construction days, and other metrics. Common units include square meters, cubic meters, ten thousand yuan, tons, and other general engineering units.
What Constraints Do These Characteristics Impose on the Citation Source and Traceability Process?
The multi-source and scattered nature of building construction engineering research reports requires the traceability link to clearly mark the original data source attribution for each cited piece of content. This prevents mixing similar data from different channels. The inconsistent update cycles require matching data release times during traceability. This filters expired policy or project data. The long document structure with multiple sections requires accurately locating the corresponding original sections during recall. This avoids extracting irrelevant fragments. The professional fields and fixed units require retaining the original field names and units during traceability. This ensures the engineering professionalism of cited content. Some research reports include unique project numbers. Traceability must link this identifier to help users locate specific project content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | top 8-12 | Single building construction research report has a large content volume. Too many recall results will introduce irrelevant information, while too few will fail to cover core data modules |
similarity threshold | 0.72-0.85 | Research reports contain a large number of professional terms. A higher threshold can filter non-precisely matched content and avoid invalid citations |
segment length | 800-1200 characters | The cost and compliance sections of building construction research reports have compact content. The segment length adapts to the integrity of professional paragraphs and avoids disrupting logic |
reordered return count | top 4-6 | Prioritize displaying core content most matching the query, which meets the needs of engineering personnel to quickly locate key data |
PARSE_FILE_TIMEOUT_SECONDS | 120-180 seconds | Single building construction research report document has a large volume. The parsing process takes a long time, which avoids parsing failure caused by timeout |
citation mark format | [data source name + paragraph anchor] | Clearly mark the citation source and specific location, which meets the traceability verification needs in engineering scenarios |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: When calling the knowledge base tool in a workflow, no citation source information is returned. Cause: The "return citation source" configuration item is not enabled in the tool module, or the correct building construction engineering research report knowledge base data source is not bound.
- Symptom: The citation marks in AI output appear garbled, with temporary abnormal symbols displayed before returning to normal format. Cause: The citation mark format uses incompatible special characters that conflict with the system rendering logic.
- Symptom: When the query content has no matching results in the knowledge base, the system still returns document citations. Cause: The similarity threshold is set too low, or the "disable citations when no matching results" configuration is not enabled, resulting in recall of irrelevant content.
How to Verify Proper Configuration
- Upload a single typical building construction engineering research report document, trigger knowledge base parsing, and check if the parsed segments meet the preset segment length requirements.
- Enter a building engineering query containing professional terms, verify that the number of recall results falls within the configured recall count range, and that the similarity matching meets expectations.
- Trigger dialogue generation, check that the citation marks in the output correctly display data source and anchor information, with no garbled characters or missing content.
- Enter a query content that does not exist in the knowledge base, check that the system does not return any citation sources, or follows the configured no-match processing logic.
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.