What the Data for This Category Looks Like
Data sources for infrastructure construction intelligent due diligence reports include project approval documents, bidding announcements, construction logs, supervision reports, and completion settlement documents. Update frequency changes with the project phase: quarterly updates during the project initiation phase, monthly updates during the construction phase, and annual archiving after completion. Single documents have a fixed structure, including fields such as project number, project location, budget amount, construction unit, progress milestones, and acceptance records. Currency unit is Renminbi yuan, duration unit is calendar days, and area unit is square meters or cubic meters.
Constraints for Citation Sources and Traceability
Data sources for infrastructure construction are scattered, and update frequencies vary. Exclusive traceability identifiers must be set for different data sources to avoid mixing project data from different phases. Single documents are lengthy with highly standardized fields. Citations must accurately match specific fields and paragraphs, not just vague summary content. Units differ across documents. Original units must be retained during citation, otherwise data distortion will occur. Infrastructure construction due diligence must comply with compliance requirements. Traceability information must include data source name, release time, and corresponding fields to facilitate third-party verification.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_CHUNK_SIZE | 800–1200 characters | Infrastructure construction documents contain long paragraphs of construction records and settlement details. The chunk length adapts to the field association logic of such documents, avoiding splitting critical data |
Recall count | Top 3–5 entries | Infrastructure construction data sources are scattered, and a single due diligence report needs to associate multiple types of documents. A reasonable number of recalled entries can cover core nodes without redundancy |
Similarity threshold | 0.75–0.85 | Most fields in infrastructure construction are standardized numerical values. This threshold can filter irrelevant bidding announcement fragments and retain highly matched project data |
Rerank result count | Top 2–3 entries | The similarity differentiation of infrastructure construction data is relatively high. Retaining the most relevant fragments after reranking can meet traceability requirements |
Citation limit | 5–8 entries | A single due diligence report needs to associate multiple data sources. This upper limit ensures clear citations and supports conclusions |
Trace Display Format | Display classified by data source, with release time and field name attached | Infrastructure construction due diligence must comply with compliance requirements. A clear format facilitates third-party verification of data sources |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Corpus retrieved from MySQL does not display source fragments in responses, only summary content is returned. Cause: The traceability display configuration of Function Call is not enabled, and the data source identifier field is not bound.
- Phenomenon: The number of citations returned by knowledge base search exceeds the preset upper limit, and no truncation prompt is displayed on the interface. Cause: The
Citation limitparameter is not configured correctly, or the parameter is not synchronized to the deployment environment. - Phenomenon: Unit confusion occurs in parsed infrastructure construction document citation fragments, such as displaying "square meters" as "cubic meters". Cause: Unit information of fields is not retained during segmented parsing, or incorrect field types are associated during similarity matching.
How to Confirm Proper Configuration
- Upload a standard infrastructure construction bidding document, trigger a search, and check the returned citation fragments to confirm that the fragments contain the original fields and units.
- Call the Function Call tool bound to MySQL, enter a query instruction, and check whether the data source name, query time and original fragments of corresponding fields are attached at the end of the response.
- Modify the
Citation limitparameter to2 entries, trigger multiple searches, and confirm that the number of returned citations does not exceed the set value. - Check the parsing log to confirm that the segmented length meets the preset value, and there is no field loss caused by overly long segments.
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.