Document Parsing and Chunking for Tourist Attraction Marketing Content

Tourist attraction marketing content documents originate from official account posts, official website event announcements, partner channel

What the Data for This Category Looks Like

Tourist attraction marketing content documents originate from official account posts, official website event announcements, partner channel promotional materials, internal event planning documents, and ticket policy notices. Update schedules align with operational cycles: event plans and ticket rules are updated intensively before holidays and peak tourist seasons, with 1-2 updates per week on regular days. Document formats include mixed-text long texts, tabular fare and reservation rules, and promotional posters with real-scene images. Fields cover attraction name, event time period, fare tiers, reservation conditions, and surrounding supporting information. Common units include yuan per person, days, kilometers, and similar.

Constraints on Document Parsing and Chunking

The mixed text and image format of tourist attraction marketing documents requires the parsing process to extract both text and associated image descriptions, to avoid missing marketing information from posters and real-scene images. Non-standard HTML promotional documents will filter out large amounts of valid content if strict parsing mode is used. Improper chunking logic will split complete rule units from tabular ticket rules and coherent event processes, leading to incomplete information during retrieval. Frequently updated documents require the parsing process to have sufficient timeliness to adapt to rapidly changing marketing content.

Configuration Settings

Configuration ItemRecommended ValueRationale
PARSE_IMAGE_ENABLESet to trueTourist attraction marketing documents often include real-scene posters and event images. Extracting image-associated text preserves complete marketing information
maxChunkSize800–1200 charactersAdapts to the length of long-text event plans and tabular ticket rules in attraction documents, retaining complete context for individual rule units
PARSE_HTML_STRICT_MODESet to falseTourist attraction marketing documents are mostly non-standard HTML exported from official accounts. Strict mode filters out large amounts of valid content
chunkOverlap100–150 charactersPrevents loss of contextual association when splitting coherent event timelines and ticket policies
PARSE_FILE_TIMEOUT_SECONDS600 secondsTourist attraction documents are often multi-page PDFs or files with large numbers of images, requiring sufficient time for parsing and resource loading

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 individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • After uploading a tourist attraction marketing PDF, the parsing result only contains plain text with no image-related content. Cause: The PARSE_IMAGE_ENABLE configuration item is not enabled, causing associated information for posters and real-scene images to be filtered out.
  • After uploading an HTML promotional document for a scenic spot event, the knowledge base has no valid retrieval content. The interface shows parsing succeeded but fields are empty. Cause: PARSE_HTML_STRICT_MODE is enabled, leading to extensive filtering of non-standard HTML documents.
  • After parsing a ticket policy document for a scenic spot, a single chunk contains more than 3 independent fare tiers, leading to inability to accurately match a user's query for a specific tier during retrieval. Cause: maxChunkSize is set too large, and chunking granularity is not adjusted for tabular content.

How to Confirm Proper Configuration

  • Upload a single-page tourist attraction marketing PDF with real-scene images. Check if the parsing result includes image alt text or embedded text descriptions to verify that the PARSE_IMAGE_ENABLE configuration takes effect.
  • Upload an HTML document exported from a scenic spot's official account. Verify that core text content such as event time and fare can be retrieved from the knowledge base to confirm that the PARSE_HTML_STRICT_MODE configuration is correct.
  • Split a document containing a ticket table. Check if the chunking result treats individual fare tiers or rules as independent chunks to confirm that maxChunkSize and chunking logic are matched.
  • Upload a multi-page tourist attraction event plan PDF with more than 10 pages. Check if the parsing task completes within 600 seconds without timeout errors to verify that the PARSE_FILE_TIMEOUT_SECONDS configuration is reasonable.

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.