What the data for this category looks like
Intelligent due diligence report data for engineering consulting is primarily sourced from feasibility study documents, cost accounting reports, site survey records, bidding compliance documents, and similar materials for construction and decoration projects. Data update rhythm follows project phase progression: an initial version is generated during the feasibility stage, content is updated and supplemented as construction progresses, and a final approved version is created at the completion stage. Documents have a fixed overall structure, including sections such as project overview, cost details, compliance clauses, and site test data. These documents contain large numbers of structured tables and specialized terminology fields, with units including square meters, yuan, days, megapascals, and other engineering-specific units.
What constraints these characteristics impose on the document parsing and chunking link
The long text and structured table characteristics of engineering due diligence reports impose multiple constraints on the parsing and chunking process. First, the length of individual reports varies widely, ranging from tens of pages to over 100 pages. Chunk length must balance context integrity and retrieval efficiency: it cannot be too short, which would break professional connections, nor too long, which would exceed model context windows. Second, the reports contain many structured contents such as cost tables and test data tables. Chunking must avoid splitting table cells, as this would destroy data relevance. In addition, inconsistent units for specialized fields require calibration during the parsing stage. Without this, unit chaos will appear in chunked content, affecting subsequent retrieval and application.
How to configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxChunkSize | 800–1200 characters | Engineering due diligence reports contain many specialized paragraphs and table fragments. This length preserves complete context for individual cost details or compliance clauses, avoiding split breaks |
chunkOverlap | 100–150 characters | Cross-chunk specialized terms have tight associations. Overlapping sections maintain context coherence and reduce information gaps during retrieval |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large engineering due diligence report files have significant size, and parsing takes longer. This duration covers parsing needs for most standard project documents |
enable_table_parse | Enabled | Engineering due diligence reports contain many structured cost tables and test data tables. Enabling this preserves the original row and column structure of tables, avoiding chaotic parsed content |
UPLOAD_FILE_MAX_SIZE | 500 MB | Full-cycle due diligence reports for large projects have significant file size. This threshold covers most standard upload scenarios |
The parameter values provided on this page are common recommendations for starting point configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: When calling the FastGPT 4.8.10 version API to obtain chunked content, the returned result has no chunk index identification field. Cause: Chunk index output is not enabled in system configuration, or the API request parameters do not specify returning index fields.
- Phenomenon: After uploading an engineering due diligence report, the parsed table data has cell truncation or merging errors. Cause: The
enable_table_parseconfiguration is not enabled, or themaxChunkSizesetting is too small, causing tables to be forcibly split. - Phenomenon: When the copy function is triggered on the page, a prompt pops up saying "Unable to use browser automatic copy, please manually copy the content below". Cause: Cross-domain restrictions exist in the deployment environment, or the front-end script does not correctly bind the copy event.
How to confirm the configuration is set correctly
- Upload a preset test engineering due diligence report, check the parsed chunk list, confirm that the chunk length matches the
maxChunkSizeconfiguration range. - View the parsed structured table content, confirm that the table row and column structure matches the original document, with no cell truncation or merging errors.
- Call the corresponding API interface, confirm that the returned result contains chunk index related fields, which meet the expected configuration.
- Test the copy function in the deployment environment, confirm that there are no abnormal prompts caused by cross-domain restrictions.
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.