Technical Documentation and Interface Q&A for Project Implementation Plan Management: Document Parsing and Chunking

Data for this category primarily comes from project contracts, work breakdown structures (WBS), customer schedules, and project management systems.

Data Overview for This Category

Data for this category primarily comes from project contracts, work breakdown structures (WBS), customer schedules, and project management systems. Common processed documents include project plans, milestone lists, weekly reports, and risk and issue lists. These documents contain fields such as task number, assignee, duration, milestone nodes, and risk level. Update frequency is either weekly or upon completion of a project milestone. Most documents use structured tables and entries organized by time or task hierarchy. Some documents are stored in PDF, Excel, or Word formats.

Constraints for Document Parsing and Chunking

Documents for project implementation plan management mostly include structured task entries and key business fields. Individual task units or key fields must not be split during chunking. This will disrupt cross-party schedule coordination and risk tracking. Document update frequency is high. The parsing process must adapt to rapidly iterating document content to avoid delaying progress tracking due to parsing lags. Document formats vary widely across sources. Parsing must support multiple formats including Excel, PDF, and Word, while retaining structured data within tables. Large project WBS documents have significant file size and long parsing times. Reasonable timeout and upload limit parameters must be set.

Configuration Settings

This page applies to FastGPT v4.17.0. All following configurations follow the parameter rules of this version.

Configuration ItemRecommended SettingRationale
chunkSize800–1200 charactersAligns with the length of task entries in project documents, prevents splitting individual tasks or key business fields
chunkSplitterLine break + semicolonMatches the separation format of task paragraphs and table rows in project documents, ensures chunking logic aligns with document structure
UPLOAD_FILE_MAX_SIZE5000 MBMeets upload requirements for large project plan documents, prevents errors from exceeding file size limits
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddresses parsing time for WBS documents with large numbers of structured tables, prevents mid-process timeout interruptions
customPdfParseEnabledRetains table structure and field information in PDF documents, avoids loss of key content such as task numbers and durations
chunkSettingModeManualAdapts to the structured characteristics of project documents, allows flexible adjustment of chunking rules to match business needs

Common Misconfiguration Issues

  • Parsing errors occur after uploading a 3MB project PDF document | The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted. The default duration is insufficient for complex documents with large numbers of WBS tables
  • Multiple paragraphs are merged or individual task entries are split after custom separator configuration | The chunkSize parameter was not adjusted synchronously. Insufficient match between chunk length and custom separator causes chunking logic to fail
  • An error occurs when processing PDF documents after configuring markers | The system environment variables associated with customPdfParse were not properly configured, or insufficient system resources were reserved for document parsing

How to Verify Successful Configuration

  • Upload a test project plan PDF document. Confirm that parsed text retains key fields such as task ID, duration, and assignee
  • Upload an Excel-format WBS document. Confirm that parsed content does not lose row and column information from structured tables
  • Adjust chunkSize to different ranges. Upload segmented test documents, verify that individual task entries are not split during chunking
  • Check system operation logs. Confirm that no timeout or format error prompts appear during file upload and parsing processes

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 2026-10-19.