Document Parsing and Chunking for Advertising and Marketing Research Knowledge Base Construction

Advertising and marketing research data sources include advertising delivery detail reports, media monitoring logs, competitor marketing case

What the Data for This Category Looks Like

Advertising and marketing research data sources include advertising delivery detail reports, media monitoring logs, competitor marketing case documents, industry marketing research reports, and platform backend delivery data. Update frequencies cover real-time delivery data, daily summary reports, weekly industry analyses, and monthly in-depth research reports. Document structures include structured tables (such as delivery Excel files with fields like ad placement, impressions, conversion cost), long-text PDF reports, and CSV-formatted monitoring data. Fields include professional marketing metrics such as CPM, CPC, and ROI. Units include monetary value, impressions, clicks, and other standard metrics.

What Constraints Do These Characteristics Impose on Document Parsing and Chunking?

Structured data for advertising and marketing research typically maps one delivery record to one row. Splitting individual rows breaks data associations, so parsing must retain full row data. High-frequency real-time delivery data requires parsing to support incremental processing. This avoids wasting resources on full repeated parsing. Long-text industry research reports must be chunked by chapter logic. This preserves contextual coherence for research analysis. The presence of professional metric fields requires parsing to retain field associations. This prevents loss of the specialized meaning of marketing terms.

Configuration Settings

Configuration ItemRecommended SettingRationale
PARSE_STRUCTURED_TABLEMerge row data only by column headers, do not split individual rowsEach row in an advertising delivery Excel corresponds to one complete delivery record; splitting breaks data associations
CHUNK_SIZE800–1200 charactersResearch documents require retained contextual logic; overly long chunks lose associations, overly short chunks split analysis units
PARSE_INCREMENTAL_ENABLEEnabledAdvertising and marketing data is mostly real-time or high-frequency updated; full parsing takes excessive time
UPLOAD_FILE_MAX_SIZE1000 MBLarge media monitoring compressed packages may contain multiple reports, requiring support for large file uploads
PARSE_TIMEOUT_SECONDS600 secondsParsing large industry research report PDFs requires extended processing time
ENABLE_FIELD_EXTRACTIONEnabledResearch data includes professional fields such as CPM and CPC; extraction enables precise recall

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Symptom: After importing an advertising delivery Excel, a single delivery record is split into multiple chunks. Cause: PARSE_STRUCTURED_TABLE is not configured to merge row mode, and the system splits structured table rows using default rules.
  • Symptom: After uploading multiple large media monitoring documents, the vectorization process times out. Cause: PARSE_TIMEOUT_SECONDS is not adjusted to a reasonable duration, and incremental parsing is not enabled, leading to full processing of a large volume of new data.
  • Symptom: The system triggers a document parsing process when a user submits a natural language question. Cause: The PARSE_USER_QUERY configuration item is accidentally enabled, causing question text to be included in the document parsing process.

How to Confirm Your Configuration Is Correct

  • Upload a test advertising delivery Excel file, check the knowledge base chunk list, and confirm that the complete fields of a single delivery record are not split.
  • Upload a large industry research report PDF, monitor parsing duration, and adjust PARSE_TIMEOUT_SECONDS to cover the actual parsing time.
  • Submit a question containing professional marketing terms, check whether an additional document parsing process is triggered, and confirm the status of the PARSE_USER_QUERY configuration item.
  • After enabling incremental parsing, upload a new delivery data file, and check that the knowledge base only processes the new file and does not perform full reprocessing.

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.