What Data for This Category Looks Like
Policy and regulatory basis documents for state-owned industrial funds are primarily sourced from official documents issued by the Ministry of Finance, the State-owned Assets Supervision and Administration Commission of the State Council, local financial regulatory authorities, and the funds themselves. Update schedules align with policy releases. Document sync must be completed after new policies are issued. Most documents follow a chapter-based structure, including fields such as document number, issuing authority, effective date, applicable scope, funding amount, and duration. Funding amount uses ten thousand yuan as the unit, and duration uses years as the unit. Some documents include supporting calculation tables and filling templates.
What Constraints Do These Characteristics Impose on the "Document Parsing and Chunking" Link
The chapter-based structure of state-owned industrial fund policy documents requires that chunking does not split clause logic. Prioritize splitting by chapter and clause boundaries, and avoid forced fixed character lengths that break clauses. Metadata for multiple document numbers and issuing authorities is scattered across different positions at the top of the document. The system must automatically identify and extract this metadata during parsing, to avoid confusion about policy sources in subsequent Q&A. Attached calculation tables must retain cell association relationships, otherwise information related to funding amounts cannot be accurately extracted. The effective date field position varies in some documents, so the system must support flexible identification of metadata fields.
How to Set the Configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | The length of single clauses in state-owned industrial fund policy documents mostly falls within the 500-1500 character range. This range preserves clause integrity |
chunkSplitter | Split by chapter + paragraph | Matches the chapter-based structure of policy documents, avoiding splitting of clause logic |
customPdfParse | Enabled | Required to extract metadata such as document numbers and effective dates from documents, and to retain table cell association relationships |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some policy documents include high-definition attached tables, so support for larger file uploads is needed |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large policy documents takes longer, to avoid timeout interruptions |
chunkSettingMode | Manual configuration | Adjust chunking rules for the structure of state-owned industrial fund policy documents, avoiding logic breaks caused by using default configurations |
Three Common Errors
- Phenomenon: PDF chunking preview shows that the file content cannot be read. Cause: The
customPdfParseconfiguration is not enabled, so special metadata fields or table structures in policy documents cannot be parsed. - Phenomenon: OCR error appears in logs after deploying Marker. Cause: The high-precision recognition mode for Marker is not configured, or the uploaded PDF contains encrypted content, leading to OCR recognition failure.
- Phenomenon: Feishu knowledge base cannot sync PPT and PDF documents. Cause: The sync permission for corresponding document types is not enabled in FastGPT configuration, or the document access permission is not enabled on the Feishu end.
How to Confirm the Configuration Is Properly Set
- Upload a single state-owned industrial fund policy PDF, and check if the chunking preview retains complete clauses and metadata information.
- Submit a test query to verify that fields such as document numbers and effective dates from the document can be accurately extracted.
- Upload a large policy document, and check that no timeout error occurs during the parsing process.
- After configuring Feishu sync, check if policy documents in PPT and PDF formats have been synced to the knowledge base.
The values provided here are common starting points, and should be evaluated against samples from the actual deployment environment.
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.