Party Building Learning Q&A for Department Final Accounts and Financial Reports: Document Parsing and Chunking

Party Building Learning Q&A for Department Final Accounts and Financial Reports: Document Parsing and Chunking

What the Data for This Category Looks Like

This category of data originates from the unified budget management system, centralized treasury payment system, accounting system, and asset management system. The update frequency is once per year. Daily documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. Most documents are a mix of structured tables and explanatory text. Fields include revenue and expenditure details, assets and liabilities items, budget execution difference explanations, and more. Units are mostly yuan and ten thousand yuan. Some documents contain multi-level nested sub-tables.

Documents in this category are mostly mixed batches of structured tables and explanatory text generated annually. They contain nested sub-tables and fixed fields. When parsing, the table structure and field correspondence must be retained. Avoid splitting key table rows or budget execution difference explanation paragraphs across pages. Document formats exported from different systems have minor differences, so multiple import formats must be supported. The number of documents updated in annual batches is large, so performance requirements for batch parsing must be met. Also avoid chunking failures caused by overly long single documents. The party building learning Q&A scenario requires ensuring the integrity of data fragments, avoiding missing key policies or data explanations due to chunking errors.

Configuration Settings

The following configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended ValueRationale
chunkSize800–1200 charactersAdapts to the mixed length of table rows and explanatory text in documents of this category, avoiding splitting key data segments
chunkSplitterSplit by paragraph + table boundaryRetains the integrity of final account explanations and report tables, avoiding damage to field associations during chunking
customPdfParseEnabledAdapts to PDF documents with nested sub-tables, retaining original typesetting and field structure
UPLOAD_FILE_MAX_SIZE500 MBCompatible with the size of single final account documents exported in annual batches, avoiding upload failures
PARSE_FILE_TIMEOUT_SECONDS600 secondsAddresses parsing time consumption for complex nested tables, avoiding mid-process timeout interruptions
chunkSettingModeCustom modeAdjusts chunking rules for structured documents of this category, adapting to fixed fields and nested structures

Three Common Mistakes

  • Parsing succeeds after uploading a document, but the table content is not included in the large model output. Cause: The customPdfParse configuration is not enabled, causing the structure of nested tables to be flattened and split, losing field association information.
  • A "only supports .txt, .m" type error is returned during parsing. Cause: The uploaded Word or Excel document was not processed by the built-in parser, or the file upload size limit was not configured correctly, causing pre-parsing verification to fail.
  • Chunking results do not meet expectations after custom chunk length is set. Cause: The chunkSplitter rule was not adjusted based on the table structure of documents in this category; only modifying chunkSize causes key table rows to be split across chunks.

How to Confirm the Configuration Is Correct

  • Upload a single typical final account report document, view the parsed text preview, and confirm that the table structure matches the original document, with no key rows split across chunks.
  • Upload batch annual documents, check the status logs of parsing tasks, and confirm that no timeout failure records appear.
  • Test Q&A calls related to party building learning, and confirm that the returned results contain complete fragments of final account explanations and report data, with no missing field content.
  • View the backend upload logs, and confirm that documents of normal size are not blocked by the UPLOAD_FILE_MAX_SIZE configuration.

The values provided are common starting points and should be validated against applicable 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.