What this category of data looks like
Data related to basic chemical service inquiries and responses comes primarily from enterprise internal process specifications, material safety technical instructions, regulatory department service guidelines, daily inspection records, and compliance declaration materials. Update frequency varies by scenario: compliance documents update alongside industry regulatory revisions, while internal inspection records and declaration materials update in real time with project progress. Document formats include 100,000-word Word documents, 10,000-row Excel spreadsheets, and multi-page PDF compliance manuals. Fields cover material numbers, safety limits, approval nodes, and service material lists. Units include tons, cubic meters, ppm, degrees Celsius, and other chemical industry professional measurement standards.
Constraints imposed on document parsing and chunking
The presence of 100,000-word process specifications and 10,000-row Excel inspection data requires the document parsing module to support large-volume file uploads and chunking. This prevents failures caused by overload during single-pass parsing. Chemical professional fields and dedicated units require that key information such as material numbers and safety limits be retained fully after parsing. Cross-professional content must not be split arbitrarily. Service inquiry documents include fixed approval process nodes. Chunking must preserve contextual connections to avoid breaking the logical coherence of service steps. Long document parsing can easily trigger timeouts. Reasonable timeout configurations must be used to match the parsing time characteristics of basic chemical documents.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Adapts to the volume limit of a single 100,000-word Word process specification for basic chemicals, preventing large file uploads from being blocked |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Covers the parsing time of long documents and multi-page PDF compliance manuals, avoiding timeout errors caused by the long parsing cycle of basic chemical professional documents |
chunkSize | 800–1200 characters | Matches the length of professional paragraphs in basic chemicals, while adapting to the context limits of most vector models, avoiding splitting professional parameters |
chunkSplitter | By paragraph + semantic boundary | Retains contextual associations of key information such as process parameters and service flows, avoiding splitting cross-business data chunks |
chunkSettingMode | Custom mode | Adapts to the large structural differences of basic chemical documents, allowing flexible adjustment of chunking rules to match different types of service inquiry documents |
customPdfParse | Enabled | Retains the table and professional field structure in basic chemical PDF compliance manuals, preventing information loss after parsing |
Three Common Mistakes
- Symptom: Parsing fails after uploading a 100,000-word Word document, with an upload volume exceeded error returned. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration was not adjusted. The default value cannot meet the upload requirements of large basic chemical documents. - Symptom: A context length exceeded prompt is returned during the vector generation stage. Cause:
chunkSizewas not adjusted to match the length of basic chemical professional paragraphs. Chunk lengths exceed the context limits supported by the vector model. - Symptom: Field misalignment or format confusion appears in parsed Excel inspection data. Cause: The semantic boundary splitting rule for
chunkSplitterwas not enabled. Direct row-by-row splitting causes cross-business data chunks to be split apart.
How to Verify Proper Configuration
- Upload a typical 100,000-word Word process specification. Confirm no errors occur during the upload stage, and verify that the
UPLOAD_FILE_MAX_SIZEconfiguration meets the current document volume requirements. - Review the chunking results after parsing completes. Confirm that professional parameters and units are not split across different chunks, and verify that
chunkSizeandchunkSplitterconfigurations adapt to the document structure. - Trigger the vector generation process. Confirm no context length exceeded prompts appear, and verify that chunk lengths match the context limits of the vector model.
- Upload a 10,000-row Excel inspection spreadsheet. Confirm that parsed data retains complete business groups, and verify that
chunkSplitterrules adapt to spreadsheet documents.
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.