What the Data for This Category Entails
Snack food marketing content data comes from proprietary marketing material libraries of snack food brands partnered with financial institutions. The materials include new product promotion plans, offline promotional materials, e-commerce product detail copy, social media product recommendation scripts, dealer training manuals, and more.
Update rhythm fluctuates with marketing nodes. Update frequency is higher during new product launches and holiday promotions. Daily maintenance consists of small-scale adjustments.
Document formats include PDF, Word, Excel, and image-transcribed text. Structural differences are significant: some materials are long-chapter promotion plans, some include promotional schedules with tables, some are short-form recommendation content.
Fields include SKU numbers, product flavor and specifications, promotion periods, store coverage ranges, and more. Common units are grams, cases, and number of stores. Date formats mostly follow YYYY-MM-DD.
Constraints Imposed on Document Parsing and Chunking
The multi-format, frequently fluctuating updates, and specialized field characteristics of snack food marketing content create multiple constraints for the parsing and chunking process in financial scenarios.
Multi-format documents require adaptation to PDF, Word, image-transcribed text and other parsing rules to avoid missing format recognition. Unresolved format recognition issues will reduce the accuracy of activity participation guidance for financial customers.
Large-sized promotional collection documents account for a high proportion of the total materials. The system must support stable large-file upload and parsing to avoid failure to import promotional materials due to system threshold limits.
Specialized fields such as SKU numbers and promotion periods must retain contextual associations. They must not be randomly split across different chunks. Otherwise, the accuracy of subsequent knowledge base retrieval will decline, and effective support cannot be provided for customer acquisition activities through financial channels.
Frequently updated materials also require the parsing process to quickly adapt to new document structures. This matches the marketing activity launch rhythm of financial institutions.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Snack food marketing documents often include multi-page promotion plans and promotional material collections, so single-file size is usually larger than documents from general categories |
PARSE_CHUNK_SIZE | 800–1200 characters | Snack food marketing content includes associated fields such as SKU numbers, promotion periods, and flavor specifications. Contextual associations must be retained to avoid information fragmentation |
chunk_overlap_ratio | 15%–20% | Avoid splitting associated information such as promotional activity time ranges and store coverage |
ENABLE_PDF_ENHANCED_PARSE | Enabled | Snack food marketing documents often include real photos of product packaging and store address annotations. Enhanced parsing can extract text embedded in images |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large-sized promotional collection documents take longer to parse. Extend the timeout threshold to avoid mid-parsing interruptions |
API_UPLOAD_VALIDATE_MODE | Strict mode | Snack food marketing documents contain many specialized fields. Strict mode retains the original field format to avoid parsing loss |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- When uploading a single PDF promotion plan with more than 100 pages, an "offset out of range" error pops up after the upload progress reaches 90%. The cause is that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSparameters have not been adjusted. Large-file parsing exceeds the default system threshold, leading to interruption. - Marketing documents uploaded via the file collection API have different chunking results from the same documents uploaded directly through the platform. The cause is that the
PARSE_CHUNK_SIZEandchunk_overlap_ratioparameters have not been unified. The default parsing rules for API calls and platform uploads are not aligned. - No parsing data is returned after configuring a custom document parsing URL, or text for product selling points in images is not recognized after enabling
ENABLE_PDF_ENHANCED_PARSE. The cause is that document format adaptation rules have not been added to the custom URL configuration, or the corresponding enhanced parsing switch has not been enabled in version 4.9.0 or higher.
How to Confirm Configuration is Correct
- Upload a single promotional collection PDF with more than 100 pages, check that the upload progress completes without an offset error.
- Compare the same document uploaded via API and through the platform, confirm that the start and end content of the chunking results are consistent.
- View the parsed document chunks, confirm that specialized fields such as product SKU and promotion period are not split across different chunks.
- After enabling
ENABLE_PDF_ENHANCED_PARSE, upload a document containing product packaging images, check that text content within the images has been extracted.
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.