What the data for this category looks like
Agrochemical financial report data primarily comes from public annual, semi-annual, and quarterly reports disclosed by listed companies, as well as monthly agrochemical product supply and demand data and raw material price indices released by industry associations. Update cycles fall into two categories: periodic financial reports are disclosed quarterly, semi-annually, and annually; industry data is updated monthly.
Document structures include sections such as consolidated financial statements, main business breakdown (revenue share of segmented categories including pesticides, fertilizers, plant protection additives, etc.), detailed capacity and output, raw material procurement cost share, and R&D investment details. Industry data documents are mostly in structured table format, with fields including product name, current price, capacity utilization rate, and others. Statistical units are ten thousand yuan and hundred million yuan for revenue, ten thousand tons and thousand tons for capacity and output, and yuan/ton for product prices.
Constraints on Deployment and Upgrade from These Characteristics
The multi-source mixed nature of agrochemical financial report data requires support for multi-format parsing during deployment. Custom parsing services must be configured to adapt to PDF financial reports and structured industry table documents.
Differing update frequencies across data sources require setting separate scheduled synchronization cycles for periodic financial reports and industry data.
A large number of segmented business fields in agrochemical financial reports require adaptation for multi-dimensional retrieval during vector database recall, to avoid missing key business information.
Single complete annual financial report PDF exceeds 100 pages. Longer timeout durations and larger file upload limits are needed during parsing to prevent interruptions.
Some financial reports use mixed units. Data cleaning rules must be configured during upgrade to unify field units and ensure the accuracy of subsequent analysis.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
CUSTOM_PARSE_SERVICE_URL | http://your-custom-parse-ip:3001 | Agrochemical financial report PDFs contain multi-format tables and long text. The official default parsing service has insufficient adaptability, so a custom parsing service must be deployed |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single complete annual agrochemical financial report PDF exceeds 100 pages. Standard timeout durations cannot complete full parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Total size of complete financial report PDFs and supporting industry data documents usually exceeds the default limit |
chunkSize | 1200–1500 characters | Segmented business paragraphs in agrochemical financial reports are long. Increasing segment length retains complete semantic units |
topN | Top 8–10 entries | Agrochemical financial reports cover multiple segmented business dimensions. Sufficient relevant paragraphs must be recalled to cover business details |
similarityThreshold | 0.78–0.85 | Agrochemical industry terminology is highly professional. Increasing the threshold filters out low-relevance general financial report content |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Errors
- Phenomenon: Custom PDF parsing service cannot be connected. Upload agrochemical financial reports and the system displays parsing failure, with logs returning
504 Gateway Timeout. Cause: TheCUSTOM_PARSE_SERVICE_URLparameter is not configured correctly, or the custom parsing service port does not have public network access permissions. - Phenomenon: Deployed FastGPT instances detect the CVE-2024-46982 vulnerability, with a prompt indicating the NextJS version is 14.2.5. Cause: The FastGPT version that fixes this vulnerability has not been installed in time, and dependent package versions have not been updated.
- Phenomenon: The knowledge base retrieval test page has no edit entry, and recall parameters cannot be adjusted. Cause: The retrieval test page is mistakenly used as the parameter configuration entry. The content management page of the corresponding knowledge base must be used to adjust configurations.
How to Confirm Proper Configuration
- Upload a single annual agrochemical financial report PDF. Wait for parsing to complete, check if the parsed text contains complete segmented business revenue data, and confirm that the parsing service is running normally.
- Execute a preset scheduled synchronization task. Check if industry data documents are automatically updated to the knowledge base according to the configured cycle, and confirm that the synchronization configuration is effective.
- Enter the parameter configuration page of the corresponding knowledge base. Adjust the similarity threshold and recall quantity parameters, initiate a retrieval test, and verify that the relevance and quantity of recall results meet business requirements.
- View the instance's system logs. Confirm that there are no error messages related to file size limits, and confirm that the upload configuration is normal.
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.