What This Type of Data Looks Like
Marketing content documents originate from independent marketing materials across multiple sub-brands. Sources include activity plans, advertising copy, compliance reminder documents, and placement channel planning sheets for each division. Update frequency fluctuates with marketing cycles. Regular monthly activity materials update at a steady rate. Bulk concentrated uploads occur during quarterly integrated marketing campaigns. Document formats include docx, pdf, and online document export formats. Some cross-sub-brand integrated materials mix multiple format contents. Document fields include brand identifiers, activity themes, target customer groups, placement channels, compliance clause numbers, and more. Some sub-brands add custom exclusive fields. There is no unified fixed unit system; only corresponding parameters are labeled based on material attributes.
What Constraints Do These Characteristics Impose on Document Parsing and Chunking?
Material sources across sub-brands are scattered and diverse in format. Parsing tools must support multi-format compatibility and cross-brand metadata recognition to avoid losing exclusive field information. Fluctuating update frequencies require the parsing process to adapt to batch concurrency and timeout configurations for long single documents. This prevents resource overload during bulk uploads or parsing interruptions for long individual materials. Document structures with multiple fields and custom fields require retaining contextual connections between fields during chunking. This avoids splitting related content into different segments. Some materials include embedded images and compliance reminders. The parsing process must extract key information from both text and images. This prevents missing compliance content.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | Adapts to long marketing documents containing content from multiple sub-brands, prevents parsing interruptions due to excessive document length |
chunkSize | 800-1200 characters | Balances contextual completeness of marketing content and chunk granularity, prevents loss of logical connections in overly long segments, and avoids breaking field associations in overly short segments |
chunkOverlap | 100-150 characters | Retains related information such as activity themes and placement channels across segments, prevents contextual breaks after chunking |
ENABLE_IMAGE_PARSE | Enabled | Adapts to embedded images such as brand logos and activity posters common in marketing materials, extracts key text content from images |
MAX_PARSE_CONCURRENCY | 1.2 times the server's CPU core count | Adapts to scenarios where multiple sub-brand materials are uploaded in bulk, prevents server resource overload from overly high concurrency |
UPLOAD_FILE_MAX_SIZE | 500 MB | Supports large cross-sub-brand integrated marketing manuals as individual files, prevents blocking due to oversized files |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: When uploading a docx marketing document with embedded images using Docker deployment version 4.8.21, logs return the
Invalid image fileerror. Cause: TheENABLE_IMAGE_PARSEconfiguration is not enabled, and the temporary image storage directory inside the container is not properly mounted. This causes image parsing to fail. - Issue: When uploading multiple sub-brand marketing documents in bulk, background logs continuously output the
slow operation xxxmsprompt. Cause: ThePARSE_FILE_TIMEOUT_SECONDSsetting is too short, and the concurrency parsing parameters are not adapted to the bulk scenario. This triggers resource competition and causes parsing timeouts. - Issue: Brand compliance clauses and activity themes are split into different segments in the parsed chunked results. Cause: The
chunkSizesetting is too small, forcibly splitting related field content and breaking contextual logical connections.
How to Confirm Proper Configuration
- Upload a single brand marketing document with embedded images. Check if the parsed results extract text content from the images. This verifies that the
ENABLE_IMAGE_PARSEconfiguration is active. - Upload five or more marketing documents from different sub-brands in bulk. Check background logs for timeout or resource overload prompts. This verifies that the
PARSE_FILE_TIMEOUT_SECONDSand concurrency configurations are appropriate. - Randomly select a chunked result segment. Check if the associated information of activity themes and placement channels is retained. This verifies that the
chunkOverlapconfiguration is active. - Access the server GPU resource monitoring dashboard. Confirm that multiple graphics cards are being used simultaneously. This verifies that the multi-card parallel parsing configuration is active.
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.