What the data for this category looks like
Medical device-related financial report data is primarily sourced from periodic reports, temporary announcements disclosed by listed companies, and official exchange platforms. Update schedules follow regulatory requirements: quarterly reports are released within one month after the end of each quarter, annual reports are updated within four months after the end of the fiscal year, and temporary announcements are released simultaneously for major events such as new product approvals and large contract signings.
Document structure includes revenue and gross margin of the medical device business segment in consolidated financial statements, R&D capitalized expenditures and supply chain purchase details in the notes, and business pipeline progress in management's discussion and analysis. Fields include business revenue amount, R&D investment amount, number of approved devices, etc. Units are mostly RMB ten thousand, RMB hundred million, or quantity units such as units and sets.
What constraints these characteristics impose on multi-turn dialogue and prompting
The scattered distribution of medical device financial reports requires multi-turn dialogue to first guide users to clarify the report cycle and business segment being queried, to avoid retrieving irrelevant non-medical device business data. The irregular updates of temporary announcements require adding a priority retrieval rule for newly disclosed information in the prompt, to ensure responses cover recent major events.
Professional fields such as the distinction between R&D capitalization and expensing, and the type definition of approved devices, require the prompt to predefine field definitions to prevent the model from confusing financial terms and industry terms. The length of a single financial report document is large, so the context window of multi-turn dialogue must limit the retention of irrelevant information to avoid exceeding the model's processing limit.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Medical device financial reports have lengthy content for a single business segment. It is necessary to retain business constraints and historical query conditions in multi-turn dialogue, while adapting to the context processing limit of base models. |
recall_top_k | Top 8–12 entries | Business segments of medical device financial reports are scattered across multiple document paragraphs. A sufficient number of relevant fragments must be retrieved to cover analysis dimensions such as revenue, R&D, and supply chain. |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | A single annual financial report document has a large volume. Sufficient time is required for the parsing process to extract structured fields and business paragraphs related to medical devices. |
prompt_template | Fixed prefix of "Only respond to data for the medical device business segment, distinguish between R&D capitalization and expensing, and prioritize using newly disclosed temporary announcement data" | Prevent the model from confusing non-medical device business data, clarify the definition rules for professional terms, and ensure responses comply with industry and financial standards. |
stream_output_enabled | Enabled | The analysis content of medical device financial reports is lengthy. Streaming output can improve the information receiving experience, while supporting segmented processing of long text content. |
The parameter values provided on this page are common recommendations for establishing configuration starting points. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to conduct tests on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A complete packaged text is returned when calling the API interface, and streaming segmented output cannot be achieved. Cause: The
stream_output_enabledparameter is not configured as enabled, or the frontend does not correctly handle the Server-Sent Events response format. - Phenomenon: The output of the AI dialogue node in the workflow is directly displayed on the page, and cannot be processed by subsequent text splicing components before output. Cause: The automatic reply switch of the AI dialogue node is not turned off, and the output result is not bound to the custom output node.
- Phenomenon: The annotation function of dialogue logs cannot be associated with specified financial report paragraphs. Cause: Exclusive tags are not added to the content of the medical device business segment during the parsing phase, or the annotation scope is not limited to the corresponding document chapter.
How to confirm the configuration is complete
- Upload the annual financial report of a listed medical device company, initiate a query such as "revenue status of the medical device segment", and verify that the returned results only include data related to the medical device business, with no content from other business segments mixed in.
- After configuring the prompt template, initiate a query containing professional terms, and verify that the model's response defines R&D capitalization and expensing in compliance with general financial report standards, with no term confusion occurring.
- After enabling the streaming output switch, call the API interface, and verify that the response header includes the
text/event-streamidentifier, allowing segmented streaming data to be received. - View the dialogue log, and verify that the annotation function can select specified financial report paragraphs and add corresponding tags, with complete annotation information retained in the log.
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.