What data for this category looks like
The main entities in this category are electroplating plants, electronic connector and hardware surface treatment workshops. Daily generated documents include bath solution analysis records, process parameter cards, fixture usage logs, film thickness and adhesion test reports, hazardous waste management ledgers, and wastewater monitoring records. Data sources include customer surface treatment specifications, bath solution test results, rectifier operation data, online water quality monitoring records, and hazardous waste management ledgers. Update cycles follow per bath batch, per shift, and fixed monitoring intervals. Most document fields include numerical parameters and their corresponding units, such as bath temperature, additive concentration, and film thickness values.
What constraints do these characteristics impose on document parsing and chunking
The data characteristics of this category impose multiple constraints on document parsing and chunking. Documents mixing structured tables and semi-structured text require parsing rules adapted to different formats, to avoid splitting parameters from their corresponding units. Frequently updated documents require parsing and chunking to support real-time synchronization efficiency, to ensure the timeliness of audit workflows. Compliance-related documents must retain full context, to prevent splitting that breaks compliance clauses and affects subsequent audit verification. Differences in parameter formats across multiple sources also require parsing logic with flexible adaptation, to avoid generic parsing that loses specialized process information.
How to set configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Documents in this category contain numerical parameters and associated descriptions. This range preserves the integrity of parameters and their context, avoiding split breaks |
chunkSplitter | Split by paragraph + table boundaries | Documents mix text paragraphs and structured tables. This rule preserves the overall relevance of data within tables, while adapting to the semantic integrity of text paragraphs |
customPdfParse | Enabled | Documents in this category often contain specialized process parameters and units. Enabling custom PDF parsing allows accurate extraction of fields and formats, avoiding generic parsing that loses critical information |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some hazardous waste management ledgers and batch bath solution record documents have large file sizes. This duration ensures complete parsing and avoids timeout interruptions |
chunkSettingMode | Custom mode | Documents in this category have large format differences. Custom mode allows adjusting chunking rules for different document types, adapting to the parsing needs of multiple audit document categories |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Combined documents such as batch hazardous waste management ledgers and multiple bath solution records have large file sizes. This upper limit covers the upload needs of most audit scenarios |
Three common mistakes
- Phenomenon: After uploading a bath solution analysis record PDF, fields such as bath temperature and additive concentration are empty in the parsing result. Cause: The
customPdfParseconfiguration is not enabled. Generic PDF parsing cannot accurately extract specialized parameters and units from structured tables. - Phenomenon: A 408 timeout status code is returned after calling the parsing script. Cause: The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted. Batch hazardous waste ledger documents have a file size that exceeds the default timeout limit, causing parsing to interrupt. - Phenomenon: Chunking results split film thickness values and their corresponding test standards into different chunks. Cause: The
chunkSizesetting is too small, causing complete semantics including parameters and associated descriptions to be split, affecting field matching during subsequent audits.
How to confirm configurations are properly set
- Upload a single bath solution analysis record PDF, check whether the parsing result fully retains parameters such as temperature, pH value, additive concentration, and their corresponding units.
- Upload a single batch hazardous waste ledger document, confirm that the parsing process does not trigger a timeout error, and that the entire document content is covered.
- Adjust
chunkSizeto different ranges, compare the chunking results, and confirm that parameters and their associated descriptions are not split apart. - Upload a mixed document containing structured tables and text paragraphs, check whether chunks are correctly split by paragraph and table boundaries, with no cross-chunk semantic breaks.
The values provided are common starting points and should be measured against the reader's own samples.