What this category of data looks like
Engineering consulting investment research data primarily comes from official industry quota manuals, project feasibility study reports, policy documents released by local housing and urban-rural development and development and reform departments, site survey records, and similar sources. The update rhythm varies by type: quota data is updated annually, policy data is adjusted quarterly or with special releases, and project documents are updated in sync with project cycles. A single document usually includes fields such as project number, applicable region, cost indicators, regulatory clauses, release document number, and others. Units involve professional measurement standards like per-square-meter cost, construction period days, material unit prices. The document structure is mostly chapter-based, with some including embedded tables and attached drawings.
What constraints do these characteristics impose on the citation source and traceability link
The official document number and issuing entity attributes of engineering consulting data require the traceability link to accurately bind corresponding metadata, to avoid confusing compliant content from different issuing entities. A single document is lengthy and contains professionally segmented content. After segment processing, complete contextual connections and metadata identifiers must be retained, otherwise traceability cannot locate specific clauses. The large differences in data update frequencies require the traceability link to associate with the latest version of document information, to avoid citing expired content. The professional attributes of multiple fields require matching corresponding fields during recall. Relying solely on text keywords will lead to matching deviations, affecting traceability accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity threshold | 0.6–0.7 | Engineering consulting documents mostly use professional terminology. A threshold that is too low will introduce irrelevant content, while a threshold that is too high will miss relevant compliant clauses |
recall TopK | Top 8–12 results | Single content in engineering consulting documents is lengthy. Too many recall results will exceed context limits, while too few will fail to cover multi-source compliant basis |
maximum segment length | 800–1200 characters | Engineering consulting documents contain a large number of tables and regulatory clauses. Segments that are too long will lose contextual connections, while segments that are too short will damage the integrity of professional expressions |
citation source fields | release document number, issuing entity, document type | The compliance of engineering consulting relies on official release channels. Precise traceability must be completed through fixed fields |
context window size | 4000–6000 characters | A single round of investment research requires integrating multiple feasibility study reports and quota data. A window that is too small cannot carry a complete citation chain |
API traceability switch | enabled | Engineering consulting projects require traceable compliant basis. Disabling this switch will make it impossible to verify content accuracy |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- The symptom is empty citation source fields in knowledge base search return results. The cause is that the
citation source fieldsparameter is not configured, and no metadata fields to retain are specified. - The symptom is that the corpus returned by the API call is not associated with traceability information. The cause is that the
API traceability switchis not enabled, and only text content is extracted without binding document metadata. - The symptom is that target content cannot be recalled even after setting
recall TopKto 10000. The cause is that thesimilarity thresholdis not adjusted. A high recall limit paired with a too-low threshold will trigger redundant filtering, or the semantic matching degree of the target content does not reach the configured threshold.
How to Confirm Proper Configuration
- Upload an engineering consulting quota file, initiate a search, and check whether the returned results include the content of the configured
citation source fields. - Call the knowledge base API interface, check whether the returned corpus is attached with document metadata fields, and confirm that traceability information is complete.
- Adjust the
similarity threshold, observe the quantity change of recall results, and verify that the configuration takes effect. - Upload multiple copies of the same type of engineering consulting documents with different versions, and confirm that the search results can distinguish content from different issuing entities and document numbers.
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.