What the data for this category looks like
Documents in this category support the deployment of marketing and customer acquisition knowledge bases for dairy enterprises by financial institutions. They mainly come from internal brand documents, including product manuals, promotional campaign plans, nutrition specification sheets, dealer communication letters, e-commerce listing materials, and more. Update cycles are adjusted based on new product launches, promotional periods, and compliance requirements, with no fixed schedule. Document structures include long-text planning documents, short script materials, large SKU lists with tables, and nutrition parameter tables. Fields cover product names, specifications, nutrition indicators, activity times and channels. Nutrition indicators often use units such as g/100ml, mg.
What constraints these characteristics impose on document parsing and chunking
The multi-source nature of dairy industry marketing documents requires parsing tools to support multiple formats including PDF, Word, Excel, to avoid content loss from unsupported formats. Frequently occurring nutrition parameter tables and SKU lists have fixed fields and special units. Chunking must retain field associations, and cannot split content arbitrarily. PDF documents with digital signatures will block content reading workflows if signature verification is not skipped. The mixed structure of long-text marketing plans and short promotional scripts requires flexible adjustment of segmentation rules to ensure content coherence.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_PDF_SIGNATURE_IGNORE | true | Adapts to dairy industry marketing PDFs with digital signatures, avoids parsing interruptions caused by failed signature verification |
UPLOAD_FILE_MAX_SIZE | 400 MB | Covers the size upper limit of most dairy industry marketing documents such as product manuals and campaign plans |
Chunk size | 700–1100 characters | Adapts to the mixed structure of long texts (marketing plans) and short paragraphs (promotional scripts) in dairy industry documents |
TABLE_PARSE_ENABLE | true | Retains the table structures commonly found in dairy industry documents such as SKU lists and nutrition composition tables, avoiding content loss |
PARSE_FILE_TIMEOUT_SECONDS | 180 seconds | Adapts to the parsing time of large dairy industry marketing documents, prevents timeout failures |
chunkOverlap | 60–90 characters | Ensures continuous content such as nutrition parameters and activity rules in dairy industry documents is not split between chunks |
The values given are common starting points and should be measured against the reader's own samples.
Three common mistakes
- Phenomenon: After uploading a dairy industry marketing PDF with a digital signature, the parsing result is empty or displays the "file read failed" error message. Cause: The PDF signature ignore configuration is not enabled, and the verification mechanism blocks document content reading.
- Phenomenon: Local testing of the PDF parsing tool works normally, but when uploading a dairy industry document of the same format to the FastGPT knowledge base, the parsing progress gets stuck and times out. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and the parsing time of large marketing documents exceeds the default threshold. - Phenomenon: Nutrition composition tables and SKU lists in dairy industry documents are parsed into unstructured garbled text. Cause: The table parsing configuration is not enabled, causing table content to be treated as plain text and split, losing field association relationships.
How to confirm configurations are set correctly
- Upload a dairy industry marketing PDF with a digital signature, check that the parsing result includes complete product descriptions and activity content, with no null values or error prompts.
- Upload a dairy industry product manual containing a nutrition composition table, check that the parsing result retains the table structure, and nutrition parameters and their corresponding units are not split.
- After adjusting the
Chunk sizeandchunkOverlapparameters, upload a long document, check that continuous activity rules in the chunking results are not split. - View the knowledge base parsing logs, confirm there are no error records such as "file read failed" or "signature verification failed".
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.