What this category of data looks like
Data for policy and regulatory basis Q&A in the non-ferrous metal smelting industry originates from specialized policy documents issued by the Ministry of Industry and Information Technology, the Ministry of Ecology and Environment, and the Ministry of Emergency Management, plus standard documents released by industry associations. Updates are synchronized when new policies are released. Industry standards are revised every quarter.
Common document formats include official PDF formal documents and DOCX draft solicitations, with attached Excel tables for quantitative data such as capacity indicators and emission limits. Document structures include document numbers, effective dates, chapters and clauses. Some files contain cross-page nested tables, with fields covering policy numbers, applicable scenarios, and quantitative control indicators. Units include mg/m³, tons, ten thousand yuan, and other standard units.
Constraints for Document Parsing and Chunking
Official policy documents have diverse formats, including nested tables and cross-page content. Parsing processes must support complete extraction of table cell content to avoid data loss.
Policy files have clear chapter hierarchies. Chunking must retain the association between titles and their corresponding body text. Otherwise, retrieval cannot link control requirements to their relevant clauses.
Some documents include Excel data tables with overseas business-related entries. Parsing must fully identify cross-table associated content, or retrieval will miss relevant data.
Single policy compilation files can be large. Chunking must support parsing and splitting of long documents to avoid timeouts or truncation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Non-ferrous metal smelting policy documents include long clauses and quantitative control indicators. This length preserves contextual relevance of chapters while avoiding information overload in individual chunks that could harm retrieval matching |
chunkSplitter | Split by title + paragraph | Policy documents have clear chapter hierarchy structures. Splitting by title preserves the logical association between clauses and their corresponding document numbers and effective dates |
customPdfParse | Enable nested table parsing mode | Official policy PDFs often contain nested tables for capacity and emission standards. This mode fully extracts all table cell content to avoid data loss |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Large policy compilation files or multi-attachment compressed packages take longer to parse. This range covers parsing requirements for most specific use cases |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some annual policy compilation files are large. This upper limit supports batch upload and parsing needs |
chunkSettingMode | Manual configuration | Chunking parameters must be adjusted for policy documents’ long paragraphs and table structures. Automatic mode cannot adapt to the unique characteristics of specific scenarios |
Reference only; verify against the target FastGPT release and deployment documentation.
Three Common Configuration Mistakes
- Symptom: When searching for policies related to overseas use locations, the returned Excel data entries are fewer than those in the source file. Cause: The nested table parsing mode for
customPdfParseis not enabled. The default parsing only extracts content from the first screen of tables, so cross-page or associated overseas business data is not fully extracted. - Symptom: After uploading a DOCX policy draft solicitation, the parsing result loses chapter title information. Cause:
chunkSplitteris not configured to split by title + paragraph. The default split by line breaks separates titles from their body text, so retrieval cannot link context to relevant clauses. - Symptom: Timeout errors occur when parsing policy compilation files larger than 500 MB. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not adjusted to the recommended range. The default timeout duration is insufficient to complete parsing of long files.
How to Verify Correct Configuration
- Upload an official policy PDF containing nested tables, and check that all table cell content is fully extracted in the parsing result, with no missing or truncated fields.
- Set
chunkSizeto 800 characters, randomly select a policy clause, and confirm that the chunked content is not forcibly truncated in the middle of a sentence, preserving complete semantic meaning. - Upload a policy compilation file larger than 500 MB, and confirm that the parsing task does not produce timeout errors and can successfully generate knowledge base entries.
- Search for policy content related to overseas business requirements, and confirm that the returned results include all relevant entries from the source file, with no data missing.
The values provided here are common starting points, and should be evaluated 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.