What the data for this category looks like
Policy and regulatory basis data for the pharmaceutical distribution sector is primarily sourced from official public documents issued by the National Medical Products Administration, the Ministry of Commerce, Market Order Department, and provincial and municipal medical insurance bureaus. Updates are triggered when new policies are released or regulatory rules are revised. Document formats mostly include official PDF announcements, Word-format internal implementation guidelines, and some structured Q&A compilations. Fields include policy document number, issuing entity, effective date, applicable distribution links (wholesale, retail, cold chain), and specific control clauses. Units include clause items, document number codes, and the year-month-day format for effective dates. Some documents include table-form qualification requirement lists.
What constraints these characteristics impose on the document parsing and chunking process
Policy documents contain fixed metadata and coherent control clauses. Chunking must retain the association between key metadata such as document number and effective date, to avoid semantic breaks. Some documents include nested tables and cross-paragraph Q&A content; parsing must avoid splitting associated content within tables and the context of cross-paragraph Q&A. Large annual distribution supervision reports have substantial content, and single file sizes often exceed standard processing thresholds, so longer parsing durations must be supported. Some DOCX documents contain revision marks or nested comments; the parsing engine cannot directly recognize the complete structure, so additional format processing is required before chunking.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
chunkSize | 800–1200 characters | Pharmaceutical distribution policy clauses are mostly coherent control requirements. This range preserves the semantic integrity of single policy clauses, avoiding splitting cross-paragraph regulatory requirements. |
chunkSplitter | Split by paragraph + custom delimiter, automatically split by character boundaries if segments still exceed chunkSize | Policy documents often use "clause items" and "Q&A pairs" as independent units. Splitting by paragraph combined with delimiters like "Article X" and "Question:" preserves the independence of semantic units, while handling splitting needs for overly long segments. |
customPdfParse | Enable table recognition mode | Pharmaceutical distribution policies often include tables such as qualification lists and cold chain transportation requirements. Enabling this mode preserves table structure, avoiding table content breaks after chunking. |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some large annual distribution supervision reports have substantial content. 600 seconds covers the parsing time for standard large files, avoiding triggering timeout errors. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Adapts to upload needs for single batches of policy documents, preventing submission failure due to oversized files. |
chunkSettingMode | Manual configuration | For different types of policy documents (announcements, Q&A compilations, guidelines), manually adjusting chunking parameters adapts to the semantic structures of different documents. |
Three common errors
- Phenomenon: Uploading a 10+ MB PDF triggers the
timeout of 360000ms exceedederror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. The default timeout duration is insufficient for processing large policy documents. - Phenomenon: Individual DOCX documents fail to parse, with empty fields or garbled text after parsing. Cause: The document contains revision marks or nested comments, and the format cleanup option for
customPdfParsewas not enabled, causing the parsing engine to fail to recognize the complete document structure. - Phenomenon: Long paragraphs of policy clauses are split and lose contextual association. Cause: The
chunkSizesetting is too small, splitting coherent regulatory requirements into multiple incomplete semantic blocks, leading to subsequent Q&A being unable to match complete policy basis.
How to confirm the configuration is properly set
- Upload a single 10 MB-scale pharmaceutical distribution policy PDF, check if the parsed document structure retains tables and metadata such as policy document number and effective date.
- Upload a DOCX policy document with revision marks, confirm no missing fields or garbled content after parsing.
- Test uploading a policy document under 100 MB, confirm no timeout error is triggered during parsing.
- Import a policy document in Q&A pair format, confirm each Q&A pair is retained as an independent unit and not split.
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.