Internal Office and Employee Services for 12345 Hotline Ticket Handling: Document Parsing and Chunking

What Data for This Category Looks Like

Data for this category primarily comes from the 12345 citizen hotline platform, contracting entity business systems, internal knowledge bases, public feedback and evaluation data, and local hotline management-related documents. Daily processed documents include request registration forms, dispatch records, handling responses, follow-up records, deferral applications, return explanations, and knowledge base entries. Data is updated daily. Individual documents typically include standardized fields such as request number, contracting entity, request content, handling milestones, follow-up results, and other standardized fields. Some historical archived documents have inconsistent formats.

What Constraints Do These Characteristics Impose on the "Document Parsing and Chunking" Link?

The characteristics of this category of data impose multiple constraints on the parsing and chunking process. Multi-source data includes structured business fields and unstructured public request text, so both standardized field extraction and context retention for free text must be balanced. Daily updated high-frequency data requires the parsing process to have stability and efficiency, to avoid timeouts that disrupt ticket circulation. Some historical archived documents have inconsistent formats, so custom parsing configuration support is needed to adapt to differences. At the same time, the timeliness requirements of ticket handling mean that chunking must not excessively split context, otherwise it will interfere with request type judgment and responsible unit matching.

How to Set Configurations

Reference only; verify against the target FastGPT release and deployment documentation.

Three Common Mistakes

• An error occurs when using the parsing tool to process hundreds-page ticket PDFs, while documents with dozens of pages parse normally. The cause is insufficient PARSE_FILE_TIMEOUT_SECONDS configuration duration, which does not adapt to the complete parsing process of large-volume documents.
• A Cannot read properties of undefined error appears when configuring the custom PDF parsing process. The cause is incorrect mapping of customPdfParse parameter rules, or dependent environments not being fully deployed.
• A problem with overly high repetition rate of recalled content occurs when setting chunking rules. The cause is failure to adjust the semantic splitting logic of chunkSplitter, resulting in a large amount of overlapping context content between adjacent chunks.

How to Confirm the Configuration Is Complete

• Upload a single ticket PDF document with more than 500 pages, check whether the parsing progress is completed within the duration configured by PARSE_FILE_TIMEOUT_SECONDS, with no timeout errors.
• Import multiple ticket documents with different formats, check whether the extracted fields after parsing are complete, with no critical information missing.
• Adjust the chunkSize parameter, randomly select chunked content, confirm that the context logic within a single chunk is complete, with no excessive splitting.
• Test bulk upload of archived ticket files, confirm that the UPLOAD_FILE_MAX_SIZE configuration does not restrict import and parsing of normal files.

The values provided are common starting points, and should be evaluated against one’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.