Bid Document and Quotation Preparation for Safety, Environmental Protection and Special Operations Management: Document Parsing and Chunking

This category of data comes from EHS departments and maintenance teams of manufacturing enterprises such as chemical and metallurgical enterprises. It

What this category of data looks like

This category of data comes from EHS departments and maintenance teams of manufacturing enterprises such as chemical and metallurgical enterprises. It covers documents including risk identification records, work tickets such as hot work and confined space work, hazardous waste ledgers, emission monitoring reports, accident rectification reports, and more. Data sources include regulatory standard texts, online environmental monitoring systems, files exported from gas detectors, personnel qualification lists, equipment isolation lists, and supervision platform data. Update cycles cover real-time records generated for each operation, emission data updated per monitoring cycle, and hidden danger rectification reports from regular inspections. Documents contain structured fields and unstructured text. Fields include work identifiers, monitoring values, qualification numbers, and more. Units cover time, concentration, weight and other types.

What constraints these characteristics impose on document parsing and chunking

Multiple document types coexist. Chunking rules must adapt to the different structures of structured work tickets, semi-structured ledgers, and unstructured regulatory texts. This avoids cutting core compliance clauses. Multi-source data includes structured files exported from systems and manually entered scattered records. The parsing link must be compatible with text extraction logic for different formats. Frequently updated work documents require the parsing process to have low latency. This avoids delaying bid document preparation. Fields contain mixed numerical and text content. Chunking must retain field association relationships. This ensures compliance verification during bidding can trace complete information.

Configuration Settings

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAdapts to the field density of work tickets and ledgers. Retains complete risk identification logic, and avoids cutting core compliance content
chunkSplitterBy section title + line breakMatches the section structure of work tickets. Avoids cutting the association between hot work permit scope and risk identification content
PARSE_FILE_TIMEOUT_SECONDS120 secondsHandles hazardous waste ledgers with over 100 pages or multi-page work ticket collections. Avoids parsing timeout for large documents
customPdfParseEnabledRetains text in stamp and signature areas of work tickets. Used for qualification verification and compliance proof during bidding
chunkSettingModeManual configurationAdjusts chunking rules separately for regulatory standards and work records with different formats. Optimizes parsing effect
UPLOAD_FILE_MAX_SIZE500 MBSupports batch upload of monthly emission monitoring report collections. Meets upload requirements for large documents

Three Common Configuration Mistakes

  • After uploading locally chunked documents to the server, vector recall results are empty or have extremely low matching accuracy. The cause is a mismatch in embedding dimensions between the vector models used locally and on the server. Locally generated chunked vectors fail to align with the semantic space of the server-side model.
  • When configuring chunking rules, the section separator for work tickets is not specified. Half-completed hot work permit scope or risk identification content appears in chunked results. The cause is that the default separator does not match the section structure of work tickets. It cuts core compliance clauses.
  • After passing a monitoring report link from an online supervision platform, only page framework text is returned. Specific monitoring values and time cannot be extracted. The cause is that customPdfParse is not enabled to adapt to the embedded framework structure of online documents. This leads to incomplete text extraction.

How to Verify Correct Configuration

In FastGPT v4.17.0, configuration effects can be verified through the following actions:

  • Upload a single hot work ticket. Confirm that chunked results retain complete work time, gas monitoring data and guardian information.
  • Upload a hazardous waste ledger with over 100 pages. Confirm that no parsing timeout error is triggered.
  • Compare chunked vector similarity between local and server sides. Confirm that recall results are consistent after aligning the embedding model.
  • Pass a link to an online monitoring report. Confirm that complete emission values and monitoring time fields are extracted.

The values listed above are common starting points. They should be evaluated against the reader's own samples.