What this category of data looks like
Bid rejection item data mainly comes from public procurement public service platforms, industry tendering official websites, and internal enterprise tendering archives. Updates follow real-time alignment with tendering project milestones, and updates are pushed synchronously when new bid rejection items are generated. Each data entry primarily uses structured fields paired with unstructured text, including fields such as project ID, tendering unit name, bid rejection time, bid rejection reason, list of involved bidding units, announcement source URL, and more. Most bid rejection reasons are multi-paragraph unstructured descriptions. Field units use standard date formats, amount units are ten thousand yuan or yuan, and the bidding unit list is in text array format.
What constraints these characteristics impose on the model integration and configuration phase
Large differences exist in multi-source data formats. Different platforms have varying field orders and naming for bid rejection announcements, so unified field mapping rules must be configured to complete data standardization. The real-time update feature requires the model integration link to support scheduled pulling or Webhook-triggered synchronization mechanisms to avoid data lag. The high proportion of unstructured text in bid rejection reasons requires the model to support both structured field extraction and semantic understanding of unstructured content. Associated information involving the bidding unit list requires the vector storage link to support multi-field associated indexing, ensuring that recall results cover associated entities.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_top_k | Top 8-12 entries | Bid rejection item data has high information density per entry. Too many recall results will introduce irrelevant content, while too few will miss key descriptions of bid rejection reasons |
chunk_size | 800-1200 characters | The core content of bid rejection announcements is mostly 300-800 characters. Excessively long segments will split the semantic integrity of bid rejection reasons, while excessively short segments will destroy context association |
function_call_enable | Enabled | Need to call tools to pull the latest bid rejection item data, or batch verify whether tender documents involve bid rejection item scenarios |
api_timeout | 300 seconds | Multi-source pulling of bid rejection data may encounter interface response delays. An overly long timeout will block batch tasks, while an overly short timeout will cause synchronization failures |
vector_store_batch_size | 50 entries per batch | Each bid rejection item has a small data volume. An overly large batch will easily trigger interface rate limits, while an overly small batch will increase the number of calls and time consumption |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- A
400 Bad Requesterror is returned when calling the model, with the prompt "function not found". The cause is thatfunction_call_enableis not enabled in the model configuration, or the passed function parameter format does not match the model's requirements. - Multimodal attachment content cannot be correctly identified in vector recall results. The cause is that no adapted multimodal vector model configuration was added, making it impossible to process bid rejection announcements with tender document attachments.
- The local development environment cannot connect to the remote model service after startup. The cause is that
OPENAI_BASE_URLandOPENAI_API_KEYare not correctly configured in.env.local, or network policies restrict cross-node access.
How to confirm the configuration is complete
- Run the built-in model debugging tool, input a standard bid rejection announcement text, and verify whether the bid rejection reason can be correctly extracted and the associated tool call can be triggered.
- View the vector storage statistics panel, confirm that the number of imported bid rejection item data entries matches the source data, with no field loss or truncation.
- Adjust the
rag_top_korsimilarity_thresholdconfiguration, compare the relevance of recall results under different configurations, and adjust to meet business judgment standards. - Trigger a manual synchronization task, check whether the latest bid rejection item announcements can be pulled from the configured data sources and index updates completed.
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.