What Data for This Category Looks Like
Data related to administrative inquiries and responses for non-ferrous metal smelting primarily originates from process specification PDFs, quality inspection ledger Excel/CSV files, equipment operation and maintenance logs, and administrative licensing response documents. Process specifications are multi-chapter long documents that include step descriptions and parameter charts for processes such as roasting and electrolysis. Quality inspection ledgers contain fields such as batch number, metal grade, and recovery rate, with units including %, g/t, ℃, and others. Administrative licensing documents are fixed-format application and response texts. Process specifications are updated quarterly, quality inspection ledgers are updated per production batch, and administrative licensing documents are updated as needed alongside business processes.
Constraints Imposed by These Characteristics on the "Document Parsing and Chunking" Link
The mixed document structure of long texts and structured tables requires chunking to preserve semantic connections and avoid splitting technical terms and batch data. Diverse units and professional parameters require parsed results to retain the binding relationship between fields and units, to prevent matching failures during retrieval. The scenario of coexisting multiple file formats requires parsing tools to adapt to PDF, Excel, CSV, and other formats, to avoid content loss. Bulk uploaded ledger files require the parsing process to support reasonable timeout settings, to prevent task interruptions.
How to Configure Settings
The following configurations are formulated for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Ensures semantic integrity for long-process technology paragraphs and structured tables in non-ferrous metal smelting, avoiding splitting of technical terms and batch data |
chunkSplitter | Chunk by paragraph + title | Matches the chapter structure of smelting documents, retains contextual connections between process steps and quality inspection batches, and avoids semantic breaks across chapters |
customPdfParse | Enable pdf-marker v2 adaptation mode | Accurately extracts embedded flowcharts and parameter annotations in PDFs, preventing loss of non-text content |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to the parsing time required for large process specification PDFs and bulk ledger files, preventing premature task termination |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports upload requirements for single large process documents and bulk monthly quality inspection ledgers |
chunkSettingMode | Manual configuration mode | Adjusts chunking rules for the professional structure of smelting documents, avoiding semantic connection damage caused by automatic chunking |
Three Common Misconfigurations
- When parsing smelting process PDFs with embedded flowcharts, some process parameter annotations adjacent to the flowcharts may be lost. This occurs because the pdf-marker v2 adaptation mode in
customPdfParseis not enabled, and legacy parsing logic cannot fully extract non-text content. - When retrieving quality inspection ledgers in CSV format, only partial entries are returned. This happens because
chunkSizeis set too small, splitting complete row data for a single quality inspection batch, which breaks semantic connections and prevents the model from matching complete entry information. - When bulk uploading multiple monthly quality inspection Excel files, parsing tasks may terminate prematurely. This occurs because the value set for
PARSE_FILE_TIMEOUT_SECONDSis lower than the actual parsing time required for the bulk files, triggering a timeout interruption.
How to Confirm the Configuration Is Correct
- Upload a typical smelting process PDF with embedded flowcharts, check if the parsed text includes complete annotations adjacent to the flowcharts, to confirm the
customPdfParseconfiguration is active. - Upload a quality inspection CSV file containing multiple batches of data, verify that the returned entry coverage matches the source after retrieval, to confirm that chunks did not split complete data rows.
- Upload a single process specification PDF larger than 100 MB, wait for parsing to complete, confirm no timeout error is triggered, to verify the
PARSE_FILE_TIMEOUT_SECONDSsetting is appropriate. - Review chunked text fragments, confirm each chunk contains complete technical terms and associated parameters, with no forced semantic breaks.
The values provided are common starting points and should be measured against the reader's own samples.
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.