What this category’s data looks like
Baijiu investment research data primarily comes from industry association public documents, quarterly financial reports of listed liquor manufacturers, liquor body reviews from professional beverage media, and terminal retail monitoring data. Update cadence varies: listed financial reports are updated quarterly, industry dynamics are updated weekly, and single product review data is released irregularly. Document structures fall into three categories: 30–100 page long research reports, structured production, sales and price tables, and single product parameter manuals. Fields include bottle volume, alcohol content, terminal price range, base wine aging duration, and origin certification marks. Units include milliliters, %vol, and days.
What constraints these characteristics impose on deployment and upgrade
Long-text research reports account for a large share, leading to long single-file parsing times. Adjust parsing timeout thresholds during deployment to avoid parsing failures. Structured production, sales and price data include numeric fields. Compatibility with parsing formats of legacy structured data is required during upgrades to prevent vector database index errors. Uneven data update frequencies, with quarterly financial reports and weekly dynamics coexisting. Configure incremental synchronization with breakpoint resume logic to ensure that historical incremental synchronization status is not lost after upgrades. Many detailed single product parameter fields. Enable multi-field recall configuration during deployment to avoid missing key investment research information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Baijiu research reports are mostly 30–100 page long texts, default timeout is insufficient for complete parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single collections of brewery financial reports or origin data packages have large file sizes, need to support large file uploads |
Chunk Length | 800–1200 characters | Baijiu research reports contain many technical terms and long paragraphs, this range preserves semantic integrity |
Recall Count | Top 8 results | Baijiu investment research requires coverage of origin, product, financial report data across multiple dimensions; 8 results balance recall coverage and context length |
Similarity Threshold | 0.72–0.80 | Baijiu industry terms have high similarity; this range filters irrelevant recall results while retaining relevant professional matches |
Incremental Sync Interval | 1 hour | Terminal sales data is updated weekly; hourly interval enables timely synchronization of latest updates |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: After upgrading to a new version, knowledge base recall results function normally, but the large language model outputs empty content or no valid content. Cause: The vector database index configuration was not updated synchronously during the upgrade, causing the format of recalled fields to not match the large language model prompt template.
- Symptom: After Docker deployment, the page on port 3000 is inaccessible, while the page on port 3001 opens normally. Cause: The container’s internal port 3000 was not correctly mapped to the host machine during deployment, or the host machine firewall did not open port 3000.
- Symptom: After modifying the configuration file inside a Docker container, the configuration does not take effect. Cause: The configuration was modified while the container was running, or the container was not restarted to load the new configuration after modification, or an unintended non-target configuration file was modified.
How to confirm configuration is complete
- Upload a 100-page baijiu research report, check that parsing completes within the preset timeout period and no parsing failure logs are generated.
- Submit a query containing baijiu technical terms, verify that the number of recall results matches the configured recall count and that similarity falls within the expected threshold.
- After modifying configuration items, restart the service and check background logs to confirm that configuration items have been loaded and take effect.
- Submit an incremental synchronization task, check that newly uploaded baijiu data is automatically synchronized to the knowledge base.
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.