What This Category of Data Looks Like
This category of data primarily comes from engineering quality and safety supervision systems, on-site construction real-name registration platforms, supervision logs, and various test reports. Daily processed documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Most documents contain structured fields such as on-site parameters, rectification requirements, and acceptance standards, alongside specific numerical units. Data update frequency is weekly. Single document length varies widely, ranging from a few pages of rectification notices to dozens of pages of completion acceptance supervision reports.
Constraints Imposed on Document Parsing and Chunking
Weekly updated batch documents require parsing processes to have automated adaptation capabilities to avoid manual intervention. Significant structural differences across multiple document types require adaptation to different document layout logic, ensuring accurate extraction of both structured fields and unstructured text. Wide variation in single-document length requires balancing contextual completeness for long documents and information concentration for short documents during chunking. Core fields such as on-site parameters and rectification requirements must be bound to document metadata to prevent field loss after parsing, which affects the accuracy of subsequent service consultation and replies.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | This category of documents contains structured fields and long text passages. This range balances contextual coherence and chunk granularity |
chunkSplitter | Split by paragraph + title | Most documents in this category have content with clear title hierarchies. Splitting by titles preserves the logical structure of the documents |
customPdfParse | Enabled | PDF documents in this category often contain tables and structured forms. Custom parsing can accurately extract embedded fields |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Individual completion acceptance reports have long length, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Batched uploaded supervision logs and test reports have large total capacity, requiring support for large file uploads |
chunkSettingMode | Manual configuration | Significant structural differences exist across documents in this category, requiring adjustment of chunking parameters for different document types |
Three Common Misconfigurations
- Symptom: An error "the argument ‘windows-1252’ is invalid encoding" occurs when PPT documents are uploaded for parsing. Cause: Encoding parsing configuration is not adjusted for multilingual mixed engineering documents. The default encoding cannot adapt to non-standard character sets present in some supervision logs or test reports.
- Symptom: After uploading XLSX-format inspection record tables, multiple nested rows are missing from chunking results. Cause: Chunk splitting rules adapted for multi-row tables are not configured. The default chunking logic cannot recognize row-level associations in tables.
- Symptom: Core fields are empty after parsing PDF documents. Cause: The
customPdfParseconfiguration is not enabled. The default general parsing cannot extract embedded structured form fields from documents in this category.
How to Verify Correct Configuration
- A single typical document, such as a hidden danger rectification notice, may be uploaded. Parsed text blocks are verified to confirm retention of contextual associations between titles and rectification requirements. Chunking parameters are adjusted to the desired range as needed.
- Weekly updated supervision log documents may be batch uploaded to verify that parsing duration aligns with configured requirements and prevent parsing interruptions.
- A test report containing multi-row tables may be uploaded to confirm that chunking results fully extract table row content. Chunk splitting rules are adjusted to adapt to table structures as needed.
- A completion acceptance supervision report may be uploaded to verify that parsed structured fields are correctly bound to corresponding text blocks, ensuring subsequent service consultation and replies can accurately access relevant content.
The values provided are common starting points and should be evaluated against samples relevant to the specific deployment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.