What the data for this category looks like
Data for aesthetic medicine financing daily reports mainly comes from financing filing public notices released by local financial regulatory authorities, and institutional financing dynamic disclosures from third-party credit reporting agencies in the aesthetic medicine industry. The update rhythm is daily updates for financing information of aesthetic medicine institutions disclosed on the same day. Document structures mostly use structured tables, with some being PDF-format public files. Core fields include: full name of financing institution, financing amount (unit: ten thousand yuan), financing round, investor type, disclosure date, institution location. Some documents add financing purpose descriptions.
Constraints on deployment and upgrade
Multiple document formats require adaptation to PDF, web tables and other parsing formats. Multi-source parsing configuration must be enabled. The daily update rhythm requires scheduled pull task intervals to match the disclosure cycle, to avoid data lag or repeated pulls. The financing amount field uses ten thousand yuan as the unified unit. Unit standardization conversion rules must be configured during deployment to prevent data confusion. Aesthetic medicine institution names use both abbreviations and full names. Additional entity alignment rules must be configured to ensure accurate identification of financing institutions. During upgrades, priority must be given to ensuring the stability of scheduled pull tasks, to avoid data update interruptions caused by version updates.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Aesthetic medicine financing daily reports mostly consist of short structured tables. 300 seconds is sufficient to complete parsing, avoiding unnecessary timeout interruptions |
maxContext | 800–1200 characters | Single financing daily report data has few fields. No long context is required, which reduces redundant computing overhead |
recall_count | Top 3 entries | Core information of financing daily reports is concentrated in the top 3 high-priority financing events disclosed on the same day. Excessive recall will interfere with results |
UPLOAD_FILE_MAX_SIZE | 10 MB | The size of structured documents for individual aesthetic medicine financing daily reports usually does not exceed 10 MB. Uploads will fail if this limit is exceeded |
scheduled_task_trigger_interval | 86400 seconds | Financing daily reports are updated daily. Pulling once per day covers all valid information disclosed on the same day |
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 individual analysis. Testing on local samples is recommended before finalizing configuration.
Three common mistakes
- Symptom: After configuring a domestic large language model, conversation returns an invalid token error, and the interface displays a 401 status code. Cause: The FastGPT callback domain is not correctly configured in the third-party interface management platform, or the generated access token does not have knowledge base access permissions enabled.
- Symptom: Scheduled pull tasks for financing daily reports miss some fields, such as financing amount or financing round. Cause: Multi-source format adaptive parsing function is not enabled. The field order of PDF tables published by local regulatory authorities varies, leading to matching failures of extraction logic.
- Symptom: Non-same-day historical financing data is mixed into knowledge base recall results. Cause: Time filtering rules for recalled data are not correctly set. The default recall range is not limited to information disclosed on the same day.
How to confirm configuration is complete
- Manually upload a local aesthetic medicine financing daily report document, verify that parsed fields fully match preset extraction rules.
- Trigger a manual pull task, check task logs for successful pull with no timeout, format error or other error messages.
- Initiate a query based on financing daily reports, confirm returned results are limited to financing events disclosed on the same day.
- Test calls to the configured domestic large language model interface, confirm no token-related error prompts appear in returned conversation content.
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.