What the Data for This Category Looks Like
Data for business process guidance for urban investment platforms mainly comes from internal business manuals, project declaration guidelines, government disclosure policy documents, and project ledgers. Data update cycles are irregular. Business process adjustments are triggered by policy or project needs. Policy documents are updated every quarter or half year. Most documents are structured long texts, containing fields such as chapter numbers, process nodes, required material lists, and processing time limits. Common units include workdays, copies, square meters, and others. Some documents include embedded tables and scanned attachments.
Constraints Imposed on Document Parsing and Chunking
The structural characteristics of urban investment platform business documents create multiple constraints for the parsing and chunking process. First, long texts and embedded tables require the parsing engine to preserve content integrity. This prevents process node breaks or scattered table content after chunking. Second, document types are diverse. Ranges include standardized general business guidelines and customized project declaration materials. This requires adapting to different chunking logic. Third, some documents include scanned attachments. The system must support image-to-text conversion and table extraction. Otherwise, key processing information will be lost. Fourth, data updates have no fixed cycle. Chunking configurations must support flexible adjustments to accommodate new or revised business documents.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Individual process nodes in urban investment business documents mostly fall within this range. This preserves context integrity for nodes and avoids broken guidance logic after chunking |
chunkSplitter | Split by title + paragraph | Urban investment documents typically have clear chapter numbers and process node titles. Splitting by title ensures each chunk corresponds to a complete business node |
customPdfParse | Enabled | Urban investment business documents often include embedded declaration material lists and scanned items. Enabling custom PDF parsing accurately extracts table content and avoids errors from conflicting default object properties |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Urban investment project declaration materials often include multi-page drawings and scanned items. Raising the upload limit prevents failures for large files |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing large urban investment documents requires extended processing time. 600 seconds covers processing durations for most complex documents |
chunkSettingMode | Manual configuration | Urban investment document structures vary widely. Manual configuration allows adjusting chunking parameters for different document types, such as general guidelines and project declaration materials |
Three Common Configuration Mistakes
- Phenomenon: Boolean business switch parameters parsed from documents become empty after being processed by conditional judgment components. Cause: The parsing field path for parameters in urban investment documents is not specified correctly, so the conditional judgment component cannot read valid parameter values.
- Phenomenon: A "Cannot redefine property: toString" error occurs when parsing urban investment PDF documents with embedded complex tables. Cause: The
customPdfParseconfiguration is not enabled, and the default parsing engine is used to process documents with embedded tables, triggering an engine property redefinition error. - Phenomenon: The knowledge base fails to complete indexing normally after being split into more than 3000 chunks. Cause: The
chunkSizeparameter is not adjusted based on document structure, leading to too many small chunks exceeding the limit, or chunking logic is not adjusted to fit document types, causing indexing exceptions.
How to Verify Correct Configuration
- Upload a typical urban investment business guidance document, and check if the parsed text retains complete process nodes and embedded table content.
- Manually adjust the
chunkSizeparameter, upload the same document multiple times, and compare the completeness of chunking results to confirm that chunks do not cross core process nodes. - Upload a document of the maximum allowed size, verify that the parsing process does not trigger timeout errors, and confirm that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is appropriate. - Use FastGPT v4.17.0 to import a batch of different types of urban investment business documents, check if the number of chunks meets the retrieval needs of business guidance, and adjust
chunkSettingModeto fit different document types.
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.