Document Parsing and Chunking for Brand Agency Marketing

What the data for this use case looks like

Marketing content data for brand agency services comes from product manuals, promotional scripts, event plans provided by brands, and placement review documents produced by agency teams. Update frequency fluctuates with marketing cycles. New materials are added in concentrated batches before large promotional events, with stable daily updates. Document formats include PDF, DOCX, XLSX, and others. Content structure mixes structured fields such as event theme, placement channel, and budget amount, and unstructured text such as promotional copy and organized user feedback. It covers marketing-related metrics including impressions, clicks, and conversion rates.

Constraints for document parsing and chunking

Multi-format documents require parsing modules to support PDF text extraction, DOCX style recognition, and structured conversion of XLSX multi-row tables. This avoids losing associations between table rows and fields. For documents with mixed structured and unstructured content, chunking must retain field associations. Splitting event budget data and subsequent promotional copy into separate chunks harms semantic coherence for subsequent Q&A. Fluctuating material volume during marketing cycles requires parsing timeout settings adapted to batch scenarios. This prevents batch task timeouts during large promotional events. Long-form marketing copy must be split by semantic units. This avoids breaking complete promotional or event logic. It ensures chunked content forms valid independent information units.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_MAX_SIZE`	`500 MB`	Brand agency marketing documents typically do not exceed 500 MB per file. This avoids exhausting server resources during batch uploads
`maxChunkSize`	`800–1200 characters`	Semantic units of marketing copy typically fall within this length. This preserves complete promotional or event logic
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	This avoids task timeout interruptions during batch processing of large event plans during large promotional events
`enable_table_parse`	`enabled`	Brand agency documents include large numbers of placement reports and budget tables. Structured table information must be retained
`chunk_overlap`	`100–150 characters`	This retains contextual continuity between chunks, avoiding semantic breaks after long text splitting
`enable_source_tracking`	`enabled`	This meets marketing content traceability requirements. It supports associating source documents with Q&A results

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, 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

Phenomenon: When using a Docker-deployed parsing component to process PDF documents, the system returns {"detail":"Error message"} with a 500 status code. Cause: The MARKER_API_KEY environment variable is not configured correctly, or the mount directory permissions of the parsing container are not enabled. This prevents the parsing process from accessing source files.
Phenomenon: After uploading an XLSX-format placement report, chunking results lose cross-row associated data from multi-row tables. Some fields appear empty. Cause: The enable_table_parse configuration is not enabled, or table_parse_mode is not set to full_row. This results in incomplete table splitting.
Phenomenon: After chunking long-form promotional script copy, complete promotional logic is broken. The result fails to form coherent semantic units. Cause: The maxChunkSize setting is too small. This cannot accommodate a complete promotional copy unit.

How to Verify Correct Configuration

A single marketing event plan PDF that complies with the PARSE_FILE_MAX_SIZE limit is uploaded. The parsing task completion time is checked against the PARSE_FILE_TIMEOUT_SECONDS configuration.
An XLSX placement report containing multi-row tables is uploaded. The chunking results are checked for complete retention of table row and field associations.
A promotional copy with a length within the maxChunkSize reference range is uploaded. The chunking results are checked to confirm the complete copy is retained in a single chunk without premature splitting.
After enable_source_tracking is enabled, a test Q&A for the corresponding marketing content is initiated in the knowledge base. The answer is checked to confirm it associates metadata from the corresponding source document.

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.