What the data for this category looks like
The data for this category mainly comes from advertising platform backends, attribution systems, CRM lead databases, and landing page data, with a daily or real-time synchronization update cadence. Commonly processed documents include advertising campaign daily reports, weekly reports, daily adjustment records, material compliance test sheets, and optimization review reports. Most documents are multi-column structured tables or segmented reports, with fields including material ID, delivery volume, conversion cost, compliance check status, and more. Units include yuan, times, items, and more.
What constraints these characteristics impose on the "document parsing and chunking" link
High proportions of structured tables mean automatic chunking may split column-related information, making it impossible to match materials with their corresponding compliance status during compliance checks. Real-time updated data requires the parsing link to support incremental processing, to avoid repeated parsing of full historical documents. Chunking multi-field reports must retain contextual associations, otherwise it cannot support abnormal indicator positioning and budget allocation. Accurate extraction of compliance materials requires that chunks do not truncate key check fields, to avoid omissions in compliance reviews. Significant differences exist across delivery documents in different formats, requiring dedicated parsing rules to prevent incomplete field extraction.
How to set the configurations
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Adapts to the field association length of multi-column campaign reports, avoiding truncation of key fields related to compliance checks |
chunkSplitter | Split by table rows | Adapts to structured tables such as material test sheets and adjustment records, ensuring each row of data is used as an independent segment |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Matches the real-time update sync cadence of campaign data, preventing parsing interruptions for large-volume compliance documents |
chunkSettingMode | Manual configuration | Supports custom chunking rules, adapting to campaign documents in different formats such as daily reports and review reports |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Accommodates batches of compliance material documents including campaign daily reports and test sheets |
customPdfParse | Enabled | Preserves the original table structure parsing logic for exported PDF campaign reports |
Three common mistakes
- Automatic chunking results are chaotic when parsing multi-column structured tables, with each row of data split across multiple segments. This occurs when
chunkSplitteris not configured to split by table rows, and the default general text chunking rule is used instead. - When parsing batch documents in a single operation, previously uploaded compliance materials are loaded and parsed together. This occurs when rules to only parse the currently uploaded file are not configured, causing the system to include previously uploaded documents during parsing.
- After uploading an XLSX-format compliance test sheet, the system fails to recognize the table column structure, and the extracted content lacks field associations. This occurs when table-specific parsing mode is not enabled, and general document parsing rules are used for structured tables.
How to confirm configurations are set correctly
- Upload a single material test sheet, review the parsed segment results, and confirm that each row of data is used as an independent segment.
- Upload a batch of compliance documents, check the parsing task logs, and confirm that only the currently uploaded file is parsed, with no historical documents included.
- Upload campaign documents in different formats, verify that the parsed text retains the original table column structure and field associations.
- Upload a large-volume campaign daily report, verify that the parsing task does not throw timeout errors.
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 2026-10-19.