What this category of data looks like
This data supports yield rate and market analysis for medical device investment in financial scenarios. Sources include public centralized procurement bid announcements, regular operating disclosure documents of listed medical device companies, and regional medical device procurement record ledgers.
Update frequency varies by data type:
- Bid announcements are released with procurement batches, at intervals of 1 to 3 months
- Corporate operating data is disclosed quarterly
- Terminal procurement monitoring data is compiled monthly
The structure of a single data entry includes: general device name, model specification, production enterprise, procurement region, bid unit price, unit operating cost, cumulative revenue amount, and accounting cycle.
Field and unit specifications:
- Bid unit price is measured in yuan
- Unit operating cost is measured in yuan
- Cumulative revenue amount is measured in ten thousand yuan
- Accounting cycle is identified by natural quarter or month
Constraints imposed on forms and interactions
Multi-source attributes, varied update frequencies, and multi-dimensional fields of medical device yield rate data create multiple constraints for forms and interactions.
Update cycles differ across 1 to 3 months, quarterly, and monthly. Forms must support custom data pull cycles, and display the update time of corresponding data to prevent use of expired information.
Multi-dimensional fields cover general device name, model specification, production enterprise, procurement region, and more. Forms must provide multi-condition combination filtering controls, and support precise matching by production enterprise, procurement region, and model specification.
Different fields use varied units such as yuan and ten thousand yuan. Forms must automatically adapt unit display and conversion to avoid unit confusion during interactions.
Significant differences exist between medical device model specifications. Forms must support fuzzy matching retrieval to lower input barriers.
Configuration Settings
The following table lists recommended configuration values and their rationales:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
code_runner_enabled | Enabled | Medical device yield rate data must be organized from public announcements. A code running tool is required to batch parse multi-source announcement documents and enable automatic data pull and cleaning. |
max_input_token | 8000–16000 characters | When multi-dimensional filtering conditions and historical data related to medical device yield rates are combined, input length is usually large. This range covers input requirements for conventional scenarios. |
similarity_threshold | 0.75–0.85 | Many medical device model specifications have similar naming conventions. This threshold balances retrieval accuracy and recall coverage, avoiding missed matches or irrelevant results. |
recall_top_n | Top 8–12 entries | Single medical device yield rate data has multiple dimensions. An appropriate number of recalled entries ensures sufficient comparative reference data is obtained, while preventing information overload. |
tool_call_timeout | 600 seconds | Batch parsing multiple procurement announcements or corporate financial reports requires long processing times. This timeout setting prevents premature interruption of the data pull process. |
form_field_required | Procurement region and model specification are marked as required | Medical device yield rates rely heavily on procurement region and specific model. Marking these two fields as required ensures the accuracy of retrieval results. |
The parameter values provided on this page are conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing values.
Three Common Errors
- Symptom: No code running tool connection configuration item appears in the tool call panel, and the data parsing process cannot be bound. This issue exists in FastGPT 4.9.10. Cause: The
code_runner_enabledconfiguration item is not enabled, so the tool list does not load this function. - Symptom: No matching medical device yield rate data is returned on the first query, but normal results are obtained after repeated queries. Cause: The
similarity_thresholdis set too high, leading to insufficient matching entries being recalled during the first retrieval. The context supplements some keywords during the second query, increasing matching probability. - Symptom: No data is returned after the form is submitted, and no clear error prompt is displayed on the interface. Cause: The
tool_call_timeoutis set too short. The batch parsing of announcement documents is interrupted before completion, and no valid data is returned.
How to Confirm Successful Configuration
- Enter the tool management page, confirm that
code_runner_enabledis enabled, and check whether the code running tool is displayed in the tool list. - Submit a test form containing procurement region and model specification, and verify whether the update time of the returned data matches the cycle of currently published public data.
- Adjust the value of
similarity_threshold, compare the number of retrieval results under different thresholds, and confirm that balance between accuracy and coverage is achieved. - Submit a batch data parsing task, confirm that the task completion time does not exceed the duration set by
tool_call_timeout, and there are no abnormal interruption logs.
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.