Document Parsing and Chunking for Competitor Quote Bidding

Competitor quote data primarily comes from public tender announcement documents, supplier-submitted bid response documents, and internal enterprise

What the data for this category looks like

Competitor quote data primarily comes from public tender announcement documents, supplier-submitted bid response documents, and internal enterprise competitor quote ledgers. Updates follow individual tender project cycles, with frequency adjusted as quote documents are supplemented during the project cycle. Most documents are structured tables, containing fields such as project number, supplier name, product model, tax-inclusive unit price, tax-exclusive unit price, quantity, total price, delivery cycle, and others. Some documents include technical parameter attachments; units include yuan, unit, set, working day, and others. Some fields require differentiation between tax-inclusive and tax-exclusive calculation standards.

What constraints do these characteristics place on the document parsing and chunking process

The structured table characteristics of competitor quote data require parsing components to first identify table row and column associations, to avoid splitting quote items across different suppliers into separate chunks. The differentiation between tax-inclusive and tax-exclusive calculation standards requires retaining field context during chunking, to avoid confusing different values of similar fields. File updates during a single project cycle require parsing nodes to retain project-associated metadata, to ensure quote chunks under the same project can be queried in association. Some documents include technical parameter attachments, requiring parsing components to support content extraction and chunking of nested attachments, to avoid missing supplementary product detail information.

How to set configurations

Configuration ItemRecommended ValueRationale
PARSE_TABLE_ENABLEtrueMost competitor quote documents are structured tables; enabling this preserves table row and column associations and avoids chaotic field splitting
maxChunkSize800–1200 charactersEach chunk must contain complete quote items and associated parameters, avoiding splitting cross-row quote information, while controlling chunk length to fit model context windows
chunkOverlap100–150 charactersRetains contextual association between adjacent quote chunks, avoiding loss of cross-chunk field associations
PARSE_ATTACHMENT_ENABLEtrueSome competitor quote documents include technical parameter attachments; enabling this extracts supplementary content
PARSE_FILE_TIMEOUT_SECONDS120 secondsLarge bid documents contain multiple tables and attachments; reserve sufficient parsing time to avoid timeouts
UPLOAD_FILE_MAX_SIZE500 MBMeets upload requirements for complete file packages of large bid projects

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 Mistakes

  • Symptom: After uploading a file in a server environment, the document parsing node returns a 404 error, while parsing works normally in a local environment. Cause: The server environment is not configured with read/write permissions for the file storage path, or the front-end upload path does not match the file reading path of the parsing node.
  • Symptom: When using the Qwen3-14B model to parse competitor quote documents, target quote fields cannot be extracted, while extraction works normally when using the Qwen2.5-14B model. Cause: Different model versions have varying capabilities for identifying structured table field associations, and are not adapted to the multi-field nested structure of competitor quotes.
  • Symptom: Parsed chunk results lose the association between project numbers and corresponding suppliers. Cause: Table parsing configuration is not enabled, or chunk length is set too small, splitting cross-row table content.

How to Confirm Proper Configuration

  • Upload a single typical competitor quote document, review the parsed text content, confirm the table structure is fully identified with no chaotic field splitting.
  • Check the chunk length of parsed results, adjust the corresponding configuration to meet the requirement that each chunk contains complete quote items.
  • Upload a competitor quote document that includes attachments, confirm attachment content is correctly extracted and associated with the main document chunks.
  • Upload test files in both local and server environments, confirm the parsing node can normally read file content with no path or permission errors; also test external system file pushes, confirm the automatic parsing process triggers normally.

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.