What data for this category looks like
This category’s data primarily comes from customer color samples, formula libraries, dye chemical batch records, dye vat control systems, colorimeters, setting machines, and environmental monitoring equipment. Daily generated documents include dyeing formulas, chemical weighing records, dye vat operation curves, proofing confirmation sheets, color difference reports, setting process sheets, and sewage ledgers. Data update frequency follows per vat, per batch, or per shift. Most documents contain structured fields such as dye vat temperature, holding time, color difference value, and pH value, with corresponding units including ℃, minutes, ΔE, mg/L, and others. Some reports include embedded photographed color swatches or curve charts.
What constraints do these characteristics impose on document parsing and chunking
High-frequency single-vat or single-batch data requires chunks to not cross batch boundaries. This prevents unrelated batch content from being mixed during search. In mixed multi-type document scenarios, plain text formulas, dye vat curves with charts, and color difference reports with embedded images must all be parsed. Standard chunking rules may damage structured content or lose text from images. Fields with dedicated units require chunks to retain complete parameter combinations. Units and their corresponding values cannot be split apart. Additionally, sewage ledger documents require that compliance-related fields are not accidentally split. The setup must adapt to industry-specific document structures and content density.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
customPdfParse | Enabled | Adapts to documents with embedded color swatches and dye vat curve images, extracts color values and curve parameter text embedded in images |
chunkSize | 800–1200 characters | Matches the content length of individual dye vat curves and process sheets, avoids splitting critical parameter groups |
chunkSplitter | Split by paragraph + table boundaries | Prevents mis-splitting of continuous parameters in dyeing formulas and row-column data of chemical weighing records |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Avoids parsing timeout interruptions when processing color difference reports with multiple color swatch images |
chunkSettingMode | Manual configuration | Customizes chunking rules for different document types such as formulas, ledgers, and reports to adapt to industry-specific structured characteristics |
Three common mistakes
- Scenario: After uploading a color difference report with embedded color swatches, only plain text content is returned. The color value text adjacent to the color swatches is not retrieved. Cause: The
customPdfParseconfiguration is not enabled. The default PDF parsing does not enable multimodal image text extraction. - Scenario: When searching for dye vat data, results include content from multiple vat numbers. Accurate targeting of the target batch is not possible. Cause: The batch number in the document is not used as a chunk boundary. Only fixed character length splitting is used, leading to cross-batch data being merged into the same chunk.
- Scenario: After uploading an Excel-format chemical weighing record, table column alignment is lost. Fields cannot be matched with their corresponding values. Cause: Chunking rules are not adjusted for structured tables. The default chunking logic damages the row-column structure of the table.
How to confirm the configuration is correct
This configuration is based on FastGPT v4.17.0.
- Upload a color difference report with embedded color swatch images. Check if the parsed results include the color value text labeled next to the color swatches.
- Upload a single-vat dye vat curve PDF. Verify that the curve’s temperature and duration segmented data is not split into different content chunks.
- Upload a batch of dye chemical batch Excel tables. Confirm that each chunked content corresponds to the complete record of a single batch.
- Upload a 10MB sewage ledger PDF. Confirm that no timeout error is triggered during the parsing process.
The values provided are common starting points and should be measured against the reader's own samples.