What this category’s data looks like
The data for infrastructure construction intelligent due diligence reports mainly comes from project approval documents, construction drawing design documents, construction logs, supervision monthly reports, cost settlement documents and bidding archives. Data update frequency changes with project phases: basic information is synchronized once during the project initiation phase. During the construction phase, progress and cost data are updated monthly. After project completion, final settlement documents are archived. Each due diligence report document includes fields such as basic project information, qualifications of participating construction units, progress milestones, material usage lists, and cost details. Units follow construction industry standards, including ten thousand yuan, calendar days, cubic meters, tons, and similar standard units.
What constraints these characteristics impose on knowledge base retrieval and recall
The multi-source, heterogeneous nature of infrastructure construction due diligence data requires the retrieval link to support unified field parsing across document formats. This prevents loss of key information caused by differences in document structures. Individual documents have significant length and contain numerous detailed fields. The recall link must prioritize matching core retrieval fields such as project number, participating construction unit qualifications, and cost details. It must also limit the length of single-segment recall to avoid interference from redundant information. Data update frequency changes dynamically based on project phases. The recall logic must support filtering valid data using project progress milestones, preventing recall of expired construction logs or unsettled cost data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Infrastructure engineering documents often contain long tables and engineering drawings, which take longer to parse. 300 seconds covers the parsing needs of most large project archive documents |
maxContext | 1000–1500 characters | Core retrieval content for infrastructure engineering is mostly concentrated in paragraphs and table rows. This range can retain complete cost details or progress milestone information, avoiding truncation of key data |
Recall count | Top 8 entries | Core information of infrastructure engineering due diligence reports is scattered across multiple document fragments. 8 entries can cover multi-dimensional retrieval needs such as participating construction units, progress, and cost |
Similarity threshold | 0.72–0.8 | There are many professional terms in infrastructure engineering. A lower threshold may introduce irrelevant documents, while a higher threshold may miss relevant supervision report content. This range balances recall accuracy and coverage |
UPLOAD_FILE_MAX_SIZE | 500 MB | Individual infrastructure engineering archive documents may contain multiple drawings and attachments. 500 MB covers the data import needs of most medium and large-scale projects |
Segment length | 800 characters | Professional expressions in infrastructure engineering documents have strong coherence. A segment length of 800 characters can retain complete technical descriptions or cost clauses |
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 specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common errors
- Symptom: A 418 error is returned after configuring the knowledge base, and the front-end interface displays knowledge base loading failure. Cause: The
UPLOAD_FILE_MAX_SIZEparameter is not correctly configured. Large infrastructure engineering archive documents exceed the default limit, causing the system to reject document loading. - Symptom: Retrieval results only return a small number of entries, and do not include content related to participating construction unit qualifications. Cause: The
similarity thresholdis not adjusted to a reasonable range. The threshold for matching professional terms is set too high, filtering relevant supervision report documents. - Symptom: Valid content cannot be retrieved after importing WeChat official account articles. Cause: Structured parsing configuration is not enabled. Default parsing only extracts plain text, losing project progress tables and cost detail fields from the articles.
How to confirm the configuration is correct
- Upload a typical infrastructure engineering due diligence document, review the parsed field list, and confirm that core fields such as participating construction units and cost details are correctly extracted.
- Initiate a retrieval targeting professional terms, verify the matching degree of returned results, and adjust the
similarity thresholdto a range that meets business requirements. - Upload an updated project document, check the knowledge base update log, and confirm that the incremental update logic triggers according to preset rules.
- Check the knowledge base resource usage, and confirm that currently imported documents do not exceed the configured storage and quantity limits.
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.