What the data for this category looks like
The data for biologics financing daily reports primarily comes from official announcements of public and private biologic enterprises, industry financing disclosure platforms, and regulatory agency public information. It is updated daily, covering financing projects in the biologics space completed the previous day. Each data entry has six fixed fields: financing entity name, financing round, financing amount (unit: ten thousand RMB or ten thousand USD), core investor list, disclosure date, and project core pipeline overview. Some supplementary fields include financing use and valuation information. Decentralized data sources lead to inconsistent formatting across some fields, such as mixed full and abbreviated investor names.
What constraints these characteristics impose on knowledge base retrieval and recall
The daily updated data source requires an incremental synchronization mechanism, to avoid excessive computing resource usage from full updates. Non-standardized formats from multiple sources introduce issues like missing fields, inconsistent units, and abbreviated names, which add noise to retrieval matching. Long project pipeline overview fields consume model context quotas, so long text must be split specifically to fit input limits. The mixed structure of fixed core fields and supplementary fields requires retrieval to prioritize matching core attributes such as financing entity, round, and amount, to avoid irrelevant supplementary content interfering with the effectiveness of recall results.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
pushData single-batch submission limit | 200 entries/batch | Aligns with the maximum single-batch capacity limit of the FastGPT official interface, and matches the typical scale of daily incremental data for biologics financing daily reports |
recall count | Top 10 entries | The core requirement of biologics financing daily reports is to obtain the latest financing projects. Limiting the recall count avoids redundant results interfering with access to core information |
similarity threshold | 0.75–0.85 | Balances matching accuracy for core fields such as financing entity name and amount, prevents overly strict thresholds from missing similar projects, or overly loose thresholds from introducing irrelevant results |
maxContext | 4000 characters | Adapts to the average length of single financing project overviews, combined with the total data volume of batch submissions, to avoid context overflow |
segment length | 800–1200 characters | Splits long project pipeline overviews, preserves semantic integrity, and adapts to the input length limits of retrieval models |
reranked return count | Top 3 entries | Performs secondary ranking on initial recall results, focuses on the top 3 most matching core financing information, aligns with user needs for quickly obtaining key information |
The parameter values provided on this page are common recommended starting points for configuring settings. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Submitting more than 200 entries via the
pushDatainterface returns a 400 status code. Cause: The single-batch maximum limit of 200 entries specified by the interface is not followed, exceeding the official configured single-batch submission capacity. - Importing biologics financing daily reports in internal Confluence format results in empty parsed content. Cause: The knowledge base parsing module only supports publicly accessible web links. Internal network resources cannot be crawled and parsed.
- Uploading doc format biologics financing daily report files fails to extract text content. Cause: The current knowledge base parsing module does not natively support doc format files. Files must first be converted to md or txt format before uploading.
How to confirm configurations are properly set
- Submit 200 sets of test data via the
pushDatainterface, confirm that the returned status code is 200 with no submission failure prompts. - Upload financing daily report test files from different sources, check that parsed fields are complete with no obvious formatting confusion.
- Initiate a retrieval request, verify that matching results for core fields meet expectations, and adjust the similarity threshold to a range that fits business requirements.
- View knowledge base parsing logs, confirm that semantic integrity is maintained after long text segmentation, with no information loss from truncation.
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.