What the data for this category looks like
Data related to party building learning for urban investment platforms mainly comes from internal party building ledgers, standard documents issued by superior party committees, quarterly party member study manuals, and monthly thematic meeting minutes. Data update rhythm is adjusted according to superior party committee arrangements. Routine guiding documents are updated monthly, and special study materials are released as needed. Most documents are in the format of official red-headed documents, containing document numbers, issuing units, release dates, study topics and main text content. Some archived materials include handwritten study annotations. Document lengths range from a few pages to dozens of pages.
What Constraints These Characteristics Impose on the Document Parsing and Chunking Process
The fixed format of red-headed official documents requires parsing tools to accurately identify title hierarchies and paragraph structures, to avoid splitting core discussion content into disconnected chunks. The situation where internal handwritten annotations are mixed with main text requires separately extracting the context associated with annotations, to prevent irrelevant content from being mixed into the study Q&A knowledge base. The wide span of document lengths requires chunking configurations to be flexibly adjustable, to adapt to the different splitting needs of short documents and long files. Special materials released as needed require the parsing process to support fast batch import, to adapt to the deployment rhythm of temporary study tasks.
How to Set Configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Party building documents for urban investment platforms are mostly paragraph-based discussions. This range can retain the core information of a single paragraph without splitting it |
chunkSplitter | Split by title and paragraph | Party building documents usually have clear title hierarchies. Splitting in this way can ensure each chunk corresponds to a complete study unit |
customPdfParse | Enabled | Most party building documents for urban investment platforms are formatted PDF files. Enabling this option can retain title hierarchies and paragraph structures |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Long document parsing requires sufficient time to complete format recognition and content extraction, to avoid timeout failures |
chunkSettingMode | Manual configuration | The format differences of party building documents for urban investment platforms are relatively large. Manual configuration allows flexible adjustment of chunking parameters to adapt to different types of materials |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single party building documents for urban investment platforms mostly do not exceed this size, adapting to conventional upload requirements |
Three Common Mistakes
- Phenomenon: After batch uploading multiple party building documents, the chunking results cannot correspond to the original files. Irrelevant content across files appears during searches. Cause: No chunk grouping rules configured by file dimension, resulting in parsed content from all files being stored mixed together.
- Phenomenon: Timeout errors occur when parsing long documents. The interface displays a parsing timeout prompt. Cause: The configured
PARSE_FILE_TIMEOUT_SECONDSduration is insufficient, failing to adapt to the parsing time of long party building documents for urban investment platforms. - Phenomenon: Knowledge base search tests fail to hit target content. Search results are empty or off-topic. Cause: Title hierarchies are not retained during chunking, causing the Q&A model to fail to associate context topics, or chunk length is too large resulting in semantic fragmentation.
How to Confirm Configurations Are Correct
- Upload a single typical party building document. Check if the parsed chunks retain title hierarchies and paragraph integrity. Adjust corresponding parameters until the result meets expectations.
- Batch upload multiple party building materials with different formats. Verify that the chunking result of each file can be separately associated with the original file, with no content cross-contamination.
- Trigger a long document parsing task. Confirm no timeout errors occur. Check that the
PARSE_FILE_TIMEOUT_SECONDSconfiguration duration adapts to the current document length. - Submit a search test. Verify that chunk content of the target topic can be accurately retrieved. Adjust chunking parameters until the search results meet expectations.
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.