What the data for this category looks like
Baijiu research report data primarily comes from domestic securities research institute food and beverage industry reports, regular reports of listed baijiu companies, and public statistical materials from industry associations. Update schedules adjust alongside listed company earnings seasons, industry policy releases, and major industry events. Regular tracked reports update every two weeks, while special reports release when triggered by relevant events. Most documents combine structured tables with paragraph analysis, including fields such as issuing institution, release date, company name, per-ton liquor selling price, base liquor inventory, and out-of-province revenue proportion. Common units include yuan/ton, kiloliter, and ten thousand yuan.
What constraints these characteristics impose on deployment and upgrade
Scattered data sources and uneven update rhythms create constraints during deployment and upgrade. During deployment, configure parallel access parameters for multiple data sources to avoid single-threaded synchronization timeouts. Two update modes exist: batch mode during earnings seasons, and sporadic mode for emergency events. During upgrade, adjust incremental synchronization scheduling rules to support both update rhythms. Documents contain large numbers of structured professional tables. During deployment, increase the table parsing segmentation threshold to prevent splitting from breaking indicator correlations. Exclusive business fields such as per-ton liquor selling price and base liquor inventory require custom mapping. During deployment, configure dedicated field extraction rules to ensure complete parsing. Data volume fluctuates with industry popularity. During upgrade, adjust vector database shard storage configurations to optimize retrieval performance.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Baijiu research reports contain multi-page structured tables and dense data; standard timeout durations cannot complete full parsing |
CHUNK_SIZE | 800–1200 characters | Contextual association of professional fields such as per-ton liquor selling price and base liquor inventory must be preserved to avoid breaking indicator logic during splitting |
Similarity Threshold | 0.75–0.85 | There are many professional terms in baijiu research reports; matching precision must be increased to filter irrelevant recall results |
Rerank Return Count | Top 3–5 | Core information of a single research report is concentrated; excessive recall increases context redundancy |
UPLOAD_FILE_MAX_SIZE | 1000 MB | In-depth industry research reports often contain large numbers of charts and attachments; this adapts to large file upload requirements |
SYNC_INCREMENTAL_INTERVAL | Calibrated via actual testing | Research report update rhythms fluctuate with earnings seasons and events; synchronization cycle must be adjusted based on actual data sources |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing values.
Three Common Configuration Mistakes
- Phenomenon: Dependency installation timeout occurs during source code deployment. Cause: Server network environment restrictions, no domestic mirror source configured, leading to failure to pull official dependency packages.
- Phenomenon: The warning
WARNING: current commit information was not captured by theis output during local image packaging. Cause: Git repository not initialized in the project root directory, so the build script cannot obtain version commit information. - Phenomenon: After connecting a speech-to-text tool, professional terms are misrecognized in the research report transcription results. Cause: No baijiu industry-specific term dictionary loaded, leading to failure to correctly match terms such as base liquor and per-ton liquor selling price.
How to Verify Proper Configuration
- Upload a single in-depth baijiu research report, check if the parsing result fully retains professional fields such as per-ton liquor selling price and base liquor inventory, to confirm document parsing configuration is effective.
- Trigger an incremental synchronization task, verify that the number of newly added research reports in the synchronization log matches the actual number of updated data sources, to confirm synchronization configuration is normal.
- Enter a professional search term such as "listed baijiu company per-ton liquor selling price analysis", check the relevance of recall results, to confirm similarity threshold and recall count configuration is reasonable.
- View system operation logs, confirm there are no error messages such as file parsing timeout or dependency loading failure, to confirm basic deployment 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.