Document Parsing and Chunking for Airport Aviation Marketing Content

Airport aviation marketing content documents primarily originate from internal plans from the airport marketing department, official promotional

What the Data for This Category Looks Like

Airport aviation marketing content documents primarily originate from internal plans from the airport marketing department, official promotional material packages, and membership system operation documents. Full updates follow seasonal changes; temporary documents are added before holiday and season change marketing campaigns, and daily operation documents are updated weekly. Document structures include fields such as activity theme, execution period, covered terminal buildings, targeted customer groups, delivery channels, and budget details. Supplementary content includes poster copy, SMS templates, electronic screen slogans, and other associated materials. Field units include hours, passenger trips, ten thousand yuan, and others.

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

The seasonal updates, multi-field binding, and multi-channel associated content features of airport aviation marketing documents create multiple constraints for parsing and chunking. It is necessary to distinguish between historical seasonal documents and currently valid content to avoid retrieving outdated materials. It is necessary to retain binding relationships for precise fields such as delivery period and covered terminal buildings, and must not split associated activity content across terminals or time periods. It is necessary to fully preserve table structures within documents to prevent loss of budget and delivery channel details. It is necessary to bind associated copy to the main activity to avoid mismatches between copy and activities after chunking.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxChunkSize800–1200 charactersAirport aviation marketing documents contain multi-field bound content. This range preserves complete delivery information and associated copy for a single activity
chunkOverlap150–200 charactersPrevents splitting cross-seasonal and cross-channel associated content, and preserves context coherence
PARSE_FILE_TIMEOUT_SECONDS300 secondsSome marketing documents include multi-format embedded materials such as flight schedule tables and poster links, requiring sufficient parsing time
UPLOAD_FILE_MAX_SIZE20 MBAirport marketing documents often include bulk poster material packages, supporting larger file uploads
recall_similarity_threshold0.75Filters low-match outdated seasonal documents to ensure retrieval of currently valid marketing content
enable_table_parseEnabledPreserves table structures for budgets and delivery channels within documents, preventing information loss after parsing

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test against your own samples before finalizing.

Three Common Mistakes

  • Symptom: Request errors are returned when calling marker-pdf, or connection failure prompts appear when parsing documents in the locally deployed v4.8.14 Docker version. Cause: Local parsing service port mapping is not configured correctly, preventing FastGPT from connecting to the marker-pdf container.
  • Symptom: Parsed chunks include outdated seasonal marketing content, or retrieval results are unrelated to current activities. Cause: The similarity threshold is set too low, failing to filter historical seasonal documents, or no seasonal time metadata tags are added to chunks.
  • Symptom: Budget tables or associated delivery channel information is lost after chunking of parsed documents. Cause: The table parsing switch is not enabled, or the chunk length is set improperly, splitting table content across multiple chunks.

How to Confirm Proper Configuration

  • Upload a current seasonal airport marketing document, and check if parsed chunks retain complete information for activity theme, execution period, and covered terminal buildings.
  • Review parsing service logs to confirm no marker-pdf connection errors or timeout errors, and verify that the uploaded file size complies with configured limits.
  • Test the retrieval function by entering queries related to customer groups or activities within the document, and confirm that returned chunks include original document text responses with no unrelated content mixed in.
  • Check the chunk overlap setting, and confirm that adjacent chunks include partially repeated context content to avoid critical information being split and lost.

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.