What the data for this category looks like
Data for cement intelligent due diligence reports primarily comes from national building materials industry association monthly statistical documents, monthly capacity reports from cement manufacturers, and product test reports from third-party quality inspection agencies. Update frequency is monthly or quarterly. Some bidding-related documents update alongside their corresponding project cycles. Documents typically include fields such as production capacity scale, clinker ratio parameters, product strength indicators, and raw material consumption data. Units are mostly tons, cubic meters, and megapascals (MPa). Some documents include detailed batch test tables.
How These Characteristics Impose Constraints on Document Parsing and Chunking
Cement category document characteristics impose multi-dimensional constraints on parsing and chunking. Structured table documents often span multiple pages, requiring accurate matching of table headers to content to avoid field misalignment from cross-page splits. Numeric fields such as compressive strength have clear units, so parsing must bind units to values to prevent semantic breaks. Bidding documents have variable structures, often mixed with quotes and qualification content from multiple parties, requiring splitting by paragraph subject. Documents with multiple batches of test data on a single page must be chunked by batch boundaries to avoid mixing cross-batch information.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Cement due diligence documents often contain multi-page structured tables and detailed data, standard timeout durations are insufficient for complete parsing |
Chunk size | 800–1200 characters | Fields and values in cement documents are tightly bound. Excessively long chunks cause semantic dispersion, while excessively short chunks break the association between batch test data |
PARSE_TABLE_STRUCTURE | Enabled | Most cement documents include structured tables for production capacity and quality inspection. Enabling this configuration preserves the field correspondence within tables |
UPLOAD_FILE_MAX_SIZE | 200 MB | Annual due diligence documents from large cement enterprises have large file sizes. This value covers the upload requirements for conventional large documents |
Similarity threshold | 0.75 | Semantic similarity between batch test data in cement documents is high. This value avoids duplicate chunking while retaining key information |
Rerank result count | Top 3 entries | Core data of due diligence reports is concentrated in production capacity and quality inspection sections. This value accurately retrieves key chunked content |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: In FastGPT V4.9.1, calling the Doc2x tool to parse cement due diligence documents returns a file read failure error, with logs containing prompts like
Only support .txt, .m. Cause: The uploaded document is an encrypted PDF or a PDF with a digital signature, and parsing support for the corresponding format is not enabled. - Symptom: In parsed chunked content, the numerical value and unit of cement strength indicators are separated, such as "32.5" appearing as a standalone chunk. Cause: The
PARSE_TABLE_STRUCTUREconfiguration is not enabled, causing numerical values and units within tables to be incorrectly split. - Symptom: Parsing large annual due diligence documents from cement enterprises times out, with the task status showing failure. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration value is too low, failing to cover the full parsing duration of multi-page documents.
How to Confirm Correct Configuration
- A standard monthly cement statistical PDF document may be uploaded. The parsed text can be reviewed to confirm retention of the correspondence between table fields and values, verifying that the
PARSE_TABLE_STRUCTUREconfiguration is active. - A document parsing task can be triggered. The timeout parameter in the task logs may be checked to confirm that the
PARSE_FILE_TIMEOUT_SECONDSvalue meets the requirements of document size and page count. - The parsed chunk list can be exported. The chunk length can be checked to confirm coverage of complete content for a single batch of cement test data, verifying that the
Chunk sizeconfiguration adapts to the document’s semantic boundaries. - A PDF document with a digital signature can be tested for upload. Normal extraction of text content after parsing can be confirmed, verifying that the encrypted document parsing switch is enabled.
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.