What this category of data looks like
Data for party building learning in the communication towers and infrastructure field mainly comes from internal enterprise party building learning courseware, party building requirements embedded in operation and maintenance manuals, and regularly updated superior party building policy documents. The data update rhythm is adjusted according to superior party building deployment arrangements, mostly monthly or quarterly. Document formats include PDF learning manuals, Word meeting minutes, and Excel learning ledgers. Document structures include fields such as topic, learning time, content summary, and credit hour requirements. Units involved include credit hours, times, and articles.
What constraints these characteristics impose on the "document parsing and chunking" link
Mixed document formats require the parsing link to support cross-format adaptation, to avoid parsing failures or information loss for some document formats. Excel-format learning ledgers are structured data, requiring additional adapted field extraction logic to prevent pure text chunking from destroying the structured association of tables. Regularly updated batch documents require adaptation of upload and parsing capacity and timeout configurations, to prevent processing interruptions for large files or long documents. Party building learning materials often contain long paragraphs of original policy text and coherent learning notes, requiring precise control of chunking rules to avoid splitting that destroys semantic integrity.
How to set the configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to long paragraphs of original policy text and learning notes in party building learning documents, avoids splitting that destroys semantic logic, and matches the reasonable length of Q&A context |
chunkSplitter | Custom delimiter (line break + title marker) | Adapts to mixed topic and meeting minute structures in documents, retains original paragraph and hierarchical associations |
customPdfParse | Enabled | For PDF-format learning manuals, retains original typesetting and field information, avoids loss of key associations from plain text parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to batch uploads of large party building learning courseware and supporting operation and maintenance documents, avoids large file upload failures |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Addresses time consumption requirements for long document parsing, prevents task interruption from parsing timeout |
chunkSettingMode | Manual configuration | For structured Excel learning ledgers, manually adjusts chunking rules to avoid automatic chunking destroying structured data |
Three Common Mistakes
- Symptom: After uploading an Excel-format party building learning ledger, the knowledge base parsing result is empty or fields are disordered. Cause: The corresponding structured document parsing configuration is not enabled, and the default parsing logic does not adapt to Excel table structures.
- Symptom: After uploading a 3MB PDF party building learning manual, the parsing link triggers a timeout error. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the default timeout duration is insufficient for long document parsing. - Symptom: After setting a custom delimiter and chunk length, chunk results either merge multiple independent learning topics or split a single paragraph of original policy text. Cause: The actual delimiter rules of the document are not matched, and the chunk length does not adapt to the paragraph length requirements of party building documents.
How to Confirm the Configuration is Correctly Set Up
- Upload a single small party building learning PDF, check the parsed text content to confirm that typesetting and key information are not incorrectly parsed.
- Generate a chunk preview, check whether the chunk results match the preset
chunkSplitterandchunkSizerules, and avoid excessive merging or splitting. - Upload an Excel-format learning ledger, confirm that the parsing result retains table fields and structured content, and no information loss occurs.
- Upload a document larger than the conventional size, verify that the parsing link does not trigger a timeout, and confirm that the relevant timeout and capacity configurations take effect.
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.