What the data for this category looks like
Data sources for cybersecurity yield and market daily reports include internal security logging systems from financial institutions, third-party security intelligence platforms, and regulatory compliance reports. Reports are generated at fixed times each day. Real-time alert data streams are aggregated hourly and added to that day’s daily report entries. Documents use structured JSON or CSV format, with fields including report date, total number of vulnerability alerts, proportion of high-risk alerts relative to total alerts, amount spent on security protection, amount of loss avoided due to risk events. The units for these fields are count, proportion, yuan, and yuan respectively.
What constraints these characteristics impose on multi-turn dialogue and prompting
Dispersed data sources require confirming the user’s required data scope during multi-turn dialogue, to avoid retrieving irrelevant external or internal historical data. The daily update feature requires the prompt to mandate using the latest daily report data from the current day, to prevent the model from calling outdated historical entries. Structured fields include multiple types of monetary and proportional data, so the prompt must clearly define each field’s definition to avoid the model confusing values from different statistical dimensions. In multi-turn follow-up question scenarios, context must be retained to associate the user’s previous query conditions, ensuring subsequent questions can accurately match the corresponding data entries.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 12000–16000 characters | Cybersecurity daily reports contain structured data with multiple fields; multi-turn dialogue requires retaining sufficient context to associate previous query conditions and avoid context overflow |
recall_top_k | Top 8–12 entries | Daily reports have many structured fields, so a sufficient number of knowledge base entries must be retrieved to cover the user’s potential multi-turn follow-up needs |
prompt_template | Always use the latest cybersecurity yield and market daily report data updated on the current day, prioritize returning structured fields, retain context to associate historical queries during multi-turn dialogue | Adapt to the daily update feature of the reports, clarify data sources and dialogue rules, and prevent the model from calling outdated data or confusing fields |
UPLOAD_FILE_MAX_SIZE | 500 MB | Log files associated with cybersecurity daily reports are usually large in size, so large file upload support is required to fully import data |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Structured security daily report data includes multiple field parsing steps, so the timeout period must be extended to ensure complete parsing |
similarity_threshold | Calibrated based on actual testing | Must match the field characteristics of cybersecurity daily reports, to avoid retrieving irrelevant historical data or missing valid entries |
The parameter values provided on this page are all 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 the settings.
Three Common Mistakes
- Symptom: An empty knowledge base prompt is returned during dialogue, and the complete document content can be seen on the knowledge base management page. Cause: The
prompt_templatedoes not specify the use of the uploaded cybersecurity daily report knowledge base, or the knowledge base retrieval configuration is not associated with the current dialogue application. - Symptom: An image URL is passed when calling the dialogue interface, and the returned content does not recognize the image information, or a
400 Bad Requesterror is returned. Cause: The image URL is not embedded in the user’s question text in the[image](url)format, or the image parsing configuration of FastGPT is not enabled. - Symptom: After uploading an XLSX-format security daily report file, structured data from it cannot be retrieved during dialogue. Cause: The structured parsing switch for XLSX files is not enabled, or merged cells in the file cause parsing failure.
How to Confirm the Configuration Is Complete
- Upload a test cybersecurity daily report XLSX file, and go to the knowledge base management page to confirm that the file parsing status is completed.
- Enter a test question in the dialogue interface, such as "What is the number of high-risk alerts today", and check whether the returned result includes the corresponding field data from the knowledge base.
- Initiate two consecutive questions, such as first asking "What is the proportion of high-risk alerts", then following up with "What is the specific amount of loss avoided", and confirm that the dialogue context retains the first query condition.
- Check the returned result of the dialogue interface, confirm that the
contextfield contains the previous dialogue history, and the retrieved knowledge base data matches the current query.
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.