Document Parsing and Chunking for Advertising and Marketing

What the data for this category looks like

Document sources in the advertising and marketing field include structured reports exported from advertising campaign backends, media cooperation rate card documents, internal creative scripts, campaign performance logs, competitor ad analysis reports, and more. Update frequencies cover three categories: real-time (campaign data), weekly (media rate card updates), and monthly (monthly review reports).

Document formats include Excel campaign data tables, PDF campaign plans, PPT creative proposals, and some documents embed material preview images. Document fields include business metrics such as impressions, clicks, and conversion cost, with units including counts, yuan, and percentages. They also include metadata fields such as delivery time slots, media types, and creative types.

What constraints these characteristics impose on document parsing and chunking

The multi-source formats, structured features, and high-frequency update requirements of advertising and marketing documents impose multiple constraints on the parsing and chunking process. First, mixed multi-format documents must support parsing of Excel tables, PDF layouts, and embedded images, to avoid losing metadata such as media types and delivery time slots. Second, column associations and unit information from structured campaign reports must be fully retained, to prevent data misalignment during chunking. Third, long-text creative scripts and monthly review reports must be split by semantic units, to avoid breaking complete campaign strategy logic. Fourth, real-time campaign logs must adapt to efficient parsing workflows, to prevent delayed data synchronization caused by parsing delays.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Advertising and marketing documents often include multi-page structured reports and long-text plans. The default timeout duration is insufficient for complete parsing.
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Single quarterly campaign reports or creative collection documents often reach hundreds of MB. The system must support large file upload requirements.
`chunk_size`	`800–1200 characters`	Advertising and marketing documents contain technical terms and long sentences. This range balances semantic completeness and retrieval efficiency.
`chunk_overlap`	`150–200 characters`	Contextual associations such as delivery time slots and media types across chunks must be retained, to avoid breaking business logic between chunks.
`PARSE_TABLE_STRUCTURE`	`Enabled`	Most advertising and marketing documents contain structured campaign data. Enabling this option preserves table column mapping relationships and prevents data field misalignment.
`EXTRACT_ALT_TEXT`	`Enabled`	Advertising material documents often embed creative preview images. Extracting alt text can supplement key information for material descriptions.

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. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

Issue: After uploading a quarterly campaign report, the interface returns Request failed, and backend logs show an ETIMEDOUT error. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted. The default timeout duration is insufficient for parsing multi-page structured reports.
Issue: After uploading an Excel-format campaign data table, some fields such as conversion cost and CTR are empty. Cause: The PARSE_TABLE_STRUCTURE parameter was not enabled. The default parsing logic does not retain table column mapping relationships, leading to data misalignment during chunking.
Issue: In a local deployment environment, the parsing tool works normally on first use, but subsequent uploads of advertising documents time out, and restarting the server has no effect. Cause: Parsing model files were not mounted to a persistent directory. Model files are lost after container restart, causing timeouts due to re-download requirements.

How to Verify Correct Configuration

Upload an advertising campaign plan document that includes structured tables and long text, and check if the parsed chunked content retains table columns and unit information.
Test uploading a quarterly campaign report larger than 500 MB, confirm that the parsing process does not trigger a timeout error, and verify that the PARSE_FILE_TIMEOUT_SECONDS parameter matches the current document scale.
Export advertising and marketing documents from the current knowledge base, import them to a test environment, check if the chunked content matches the original document, and confirm the context retention effect of the chunk_overlap parameter.
View backend parsing logs, confirm that the enabled status and configuration values of the PARSE_TABLE_STRUCTURE and EXTRACT_ALT_TEXT parameters match expectations.

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.