What the Data for This Category Looks Like
Tender announcement data for finance, insurance, and wealth management sectors is sourced from public resource trading centers, official government procurement platforms, and vertical industry tender websites. Update frequency aligns with tender project progress, with higher release rates on workdays and lower rates on holidays. Document structures typically include fixed fields: announcement title, project ID, purchaser information, budget amount (with RMB unit), bid deadline, qualification requirements, method to obtain bidding documents, bid opening information, and contact information. Some announcements include short procurement requirement summaries.
Constraints Imposed on Document Parsing and Chunking
Different publishing platforms have significant format differences, including header watermarks and layout shifts. Parsing processes require cross-format text extraction capabilities to avoid interference from redundant information. Fixed fields include budget amounts with clear units, bid deadlines precise to the hour and minute, and unique project IDs. Chunking must prevent key information from being split, to avoid losing associated logic during subsequent retrieval. Some qualification requirements and procurement requirements are spread across multiple paragraphs. Chunking must aggregate content by information theme, ensuring each chunk contains complete, single-business information.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
parse_timeout | 120-180 seconds | Tender announcement PDFs have format interference. Multi-page documents require more parsing time than regular documents, so sufficient time must be reserved for text extraction and structuring. |
max_chunk_size | 800-1200 characters | Core paragraphs such as qualification requirements and procurement requirements in tender announcements are relatively long. This range avoids losing complete business logic after splitting. |
chunk_overlap | 100-150 characters | Ensures coherent retrieval of key cross-paragraph information such as bid deadlines and project IDs. |
UPLOAD_FILE_MAX_SIZE | 20 MB | Most official tender announcement PDFs fall within this size range, while preventing excessive resource usage from overly large files during parsing. |
custom_parse_service_timeout | 180 seconds | When enabling a custom PDF parsing service, this range adapts to the parsing needs of complex-format tender announcements and prevents parsing failure due to timeout. |
embedding_model_max_length | 512 | Adapts to the maximum context length of current mainstream Chinese embedding models, matching text length requirements after chunking. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Issue: After uploading a tender announcement PDF, the interface displays a parsing failure and returns a 413 status code. Cause: The
UPLOAD_FILE_MAX_SIZEparameter was not adjusted. The default limit cannot accommodate large multi-page tender announcement files. - Issue: When calling a custom parsing service, the parsing task times out and terminates within the default time frame. Cause: The
custom_parse_service_timeoutparameter was not set. The default timeout period is too short to adapt to the parsing needs of complex-format tender announcements. - Issue: In chunking results, the budget amount and its corresponding RMB unit are split into different chunks. Cause: The
max_chunk_sizeparameter is set too small, forcing complete amount information to be split and destroying information integrity.
How to Verify Proper Configuration
- Upload a locally saved official tender announcement PDF, and confirm that the parsed text fully extracts core fields such as project ID and budget amount, with no obvious redundant header watermark content.
- Review the chunk list, and confirm that long paragraphs such as qualification requirements and procurement requirements are not forcibly split into multiple logically unrelated chunks.
- Check the configuration items of the custom parsing service, and confirm that the
custom_parse_service_timeoutparameter value matches the response speed of the current parsing service. - Verify that the
embedding_model_max_lengthparameter matches the maximum context length supported by the currently used embedding model.
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.