What the data for this category looks like
The data source for the party building learning assistant for theoretical learning Q&A includes officially released internal party regulations, full texts of important speeches by the country’s top leader, party building theory reading materials, and internal study guidance materials. The update rhythm is adjusted synchronously with the release of central important meetings and policy documents. Most documents are in PDF format, including multi-level headings, standard paragraphs, structured tables (such as study plan ledgers, activity statistics), and some files have digital signatures. Metadata includes fields such as publishing unit, publishing date, and topic classification. The length of documents varies widely, ranging from a few pages of study manuals to full texts of dozens of pages of long speeches.
What constraints these characteristics impose on the "document parsing and chunking" link
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the length of theoretical paragraphs in party building documents, avoids splitting complete discussion units, and controls the semantic integrity of single-chunk content |
chunkSplitter | Split by heading + paragraph | Matches the multi-level heading structure of party building documents, ensuring that chunked content retains context association for the corresponding topic |
customPdfParse | Enable pdf-marker mode | Compatible with PDF files with digital signatures, accurately extracts complex tables and encrypted content |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Adapts to the parsing time of large party building PDF files, avoids parsing failure caused by timeout |
chunkSettingMode | Manual mode | Flexibly adjust chunking parameters for different types of party building documents (such as full speech texts, study manuals) |
Three common mistakes
- Parsed content is empty after uploading a party building PDF with a digital signature. The cause is that the pdf-marker mode of
customPdfParseis not enabled, and the default parsing engine cannot recognize the document structure with encrypted signatures. - After uploading a party building activity ledger PDF containing complex tables, the table content is recognized as scattered text. The cause is that the table recognition function of pdf-marker is not enabled, and the default plain text parsing mode is used.
- Parsing times out after uploading a large party building study manual PDF. The cause is that the value of
PARSE_FILE_TIMEOUT_SECONDSis lower than the actual required parsing time, and the processing rhythm for long documents is not adapted.
How to confirm the configuration is correct
- Upload a test party building PDF file with a digital signature, check whether the parsed content includes complete text and table elements.
- Upload a party building theory reading material containing three-level headings, check whether the chunked content retains the corresponding heading prefix, and does not split complete discussion paragraphs.
- Upload a large party building document with more than 100 pages, check that the parsing process does not trigger a timeout error, and the chunked results meet the preset
chunkSizerange. - Adjust
chunkSizeto 600 characters and 1500 characters for testing respectively, confirm that the chunked content does not have excessive splitting or semantic ambiguity caused by excessive length.
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.