What the data for this category looks like
Marketing documents for the paint and ink category originate primarily from product manuals, technical compliance reports, industry exhibition promotional materials, and downstream customer custom solutions provided by paint and ink enterprises partnered with financial institutions. Update cycles align with new product development, formula iterations, or compliance requirements, typically ranging from monthly to quarterly. Documents are mostly in PDF and PPT formats, including structured tables (with marked fields such as product model, solid content, viscosity, applicable substrates), chemical formula equations, long-form marketing descriptions. Some documents contain nested multi-level directories and attachment links. Field units mostly use industry standard units such as g/cm³, cps, and mass percentage.
What constraints do these characteristics impose on the document parsing and chunking workflow?
The mixed presence of structured tables and chemical formulas requires parsing tools to support both table restoration and formula recognition, to avoid damaging the integrity of formula data during chunking. The mixed multi-format document structure requires the parsing process to support extraction of both PDF vector text and PPT embedded elements, to avoid missing embedded product parameter charts. Frequently updated documents and long-form marketing descriptions require the chunking process to retain contextual associations, to avoid splitting a single product solution into disjointed segments. Industry-specific fields and units require the chunking process to retain the binding relationship between field identifiers and units, to prevent information invalidation caused by separation of parameters and units.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | Meets the upload requirements for long PPTs and multi-page PDFs in paint and ink marketing documents for financial scenarios |
maxChunkSize | 800–1200 characters | Balances contextual integrity for long-form marketing descriptions and structured parameters, avoiding excessive chunking |
PARSE_ENABLE_MATHML | Enabled | Fully restores chemical formula equations in documents, preventing loss of parameter information |
PARSE_TABLE_RETAIN_HEADER | Enabled | Retains field identifiers for product tables, avoiding separation of parameters and units |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents timeout interruptions during parsing of complex formula documents |
RECALL_SIMILARITY_THRESHOLD | 0.75–0.85 | Accurately matches associations between industry-specific parameters and marketing scenarios, filtering low-relevance segments |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: After configuring a connected knowledge base, syncing PPT and PDF format marketing documents fails. Cause: Sync permission for the corresponding document types is not enabled, or the parsing switches for PPT and PDF are not selected in the knowledge base configuration.
- Symptom: When deploying version 4.8.12 locally, normal parsing results for chemical formula equations cannot be returned. Cause: The built-in formula parsing module of the version has compatibility issues, or the GPU-accelerated parsing image is not properly mounted.
- Symptom: When clicking chunk preview for a PDF document in the knowledge base, a prompt indicating that the file content cannot be read is returned. Cause: The document is encrypted, damaged, or does not meet parsing format standards, or pre-processing was not completed before parsing timed out.
How to confirm configurations are properly set
- Upload a paint and ink product manual containing chemical formulas and structured tables, verify that the parsing result fully retains the formulas and table fields.
- Adjust the value of
maxChunkSize, upload a long-form marketing document, and confirm that the contextual coherence of the chunking result meets business scenario requirements. - Simulate batch upload of multiple marketing documents in different formats, check for timeout or parsing failure events.
- After configuring the similarity threshold, retrieve industry-specific parameters, and confirm that the relevance of the recall results matches business scenario requirements.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.