What Data for This Category Looks Like
Policy and regulatory basis data for urban investment platforms mainly comes from local government public administrative platforms, official documents from higher-level state-owned assets supervision and finance departments, and internally archived policy compilations and annual policy manuals. Common document formats include PDF red-headed documents, Word documents with embedded tables, Excel files containing project data tables and location maps. Some documents include multi-page attachments. Documents include fixed metadata fields such as policy document number, issuing authority, effective date, and applicable region. Clause content mostly covers detailed rules for project approval, fund management, operation standards, and similar topics. Update rhythm adjusts with releases of higher-level policies or revisions of internal systems, with no fixed cycle. Bulk archive updates occur quarterly.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Step
Differences in local policy document formats require parsing tools to support multiple document types. Excel files with embedded images and tables require additional OCR and table extraction, otherwise project data and visual basis will be lost. Fixed metadata (document number, effective date) of red-headed documents is critical context for Q&A. Chunking must retain this information to avoid separating policy application conditions and execution requirements. Long policy compilations have strong clause relevance. Chunking must not break the integrity of individual policy clauses, otherwise Q&A will fail to match complete supporting basis. Dispersed sources with inconsistent document formats require unified parsing rules to ensure consistent metadata extraction, avoiding missing or misaligned fields. Reference only; verify against the target FastGPT release and deployment documentation.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 1000–1500 characters | Urban investment policy documents are mostly clause-based long texts. Setting this chunk length covers complete policy clauses, avoiding separation of effective conditions and execution requirements |
chunkSplitter | Split by title + paragraph | Urban investment policy documents have clear chapter titles and clause numbers. Splitting by title preserves contextual relevance and prevents cross-clause chunking |
customPdfParse | Enable embedded element extraction mode | Urban investment policy documents often contain embedded tables and images. Enabling this extracts table text and image OCR results to ensure complete Q&A materials |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Internal urban investment policy compilations often include multi-page PDFs and bulk Excel attachments. Allowing larger file uploads avoids split failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large policy compilation documents take longer to parse. Extending the timeout prevents mid-task interruptions |
chunkSettingMode | Manual configuration | Adapts to the special format of urban investment documents. Manually adjust chunking rules to retain key metadata such as document number and effective date |
Three Common Misconfigurations
- Phenomenon: After uploading an Excel policy file with embedded images, the parsing result contains no image-related text or OCR content. Cause: The embedded element extraction switch for
customPdfParseis not enabled. Only plain text is extracted, missing key information from images and tables. - Phenomenon: The Markdown format generated after parsing a red-headed PDF policy file is chaotic, with misplaced paragraphs or missing metadata such as document number and effective date. Cause: The default PDF parsing rule is used, which does not adapt to the fixed format of urban investment red-headed documents, resulting in failed metadata extraction.
- Phenomenon: The chunking result splits a complete policy clause into multiple independent chunks, making it impossible to match the complete policy basis during Q&A. Cause: The
chunkSizesetting is too small, breaking the integrity of the policy clause.
How to Verify Correct Configuration
- Upload an Excel policy file containing embedded images and tables, check if the parsing result includes OCR text from images and complete table content.
- Upload a red-headed PDF policy file, verify that the parsed text retains metadata such as document number, issuing authority and effective date.
- Randomly select a policy clause, confirm that the chunked text block contains all content of the clause and associated applicable scope description.
- Upload a single policy compilation file with a size not exceeding 1000 MB, confirm that the parsing task completes successfully without timing out.
The values given 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.