What data for this category looks like
Baijiu research report data primarily comes from publicly available industry reports from securities research institutes, industry databases from third-party financial data platforms, and regular announcements from listed companies. Update frequency fluctuates with industry events. New documents are concentrated during earnings seasons, industry expos, and price adjustment periods for core enterprises. Each individual document includes sections such as abstract, rating conclusion, core operating data, profit forecast and valuation modules. Fields include net profit growth attributable to parent company, gross profit margin, channel inventory turnover days, and more. Common units are percentage, yuan per bottle, and 100 million yuan.
Constraints on workflow orchestration
Baijiu research reports vary widely in length, from short industry comments of a few hundred words to in-depth reports of tens of thousands of words. This requires the document parsing step of the workflow to support adaptive segmentation. Core fields are highly specialized, so the recall step must include weight configuration for specific fields to avoid interference from irrelevant content. The concentrated update feature requires the workflow's trigger rules to support event-based triggering. Fixed polling configurations cannot adapt to the concentrated update rhythm. Some research reports include nested financial and channel tables. The parsing step must support structured extraction of table content, otherwise subsequent Q&A cannot accurately match field information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | In-depth baijiu research reports take longer to parse, this avoids interrupting the parsing process due to timeout |
Chunk size | 800–1200 characters | Adapts to the splitting needs of long paragraphs and nested tables in baijiu research reports, avoids truncating core data fields |
Recall count | Top 12 results | Covers scattered core data points in research reports, avoids missing key information due to insufficient recall volume |
Similarity threshold | 0.72–0.78 | Filters generic content unrelated to baijiu research report topics, retains industry data with precise matching |
Rerank result count | Top 6 results | Focuses on the most relevant research report fragments, reduces redundant information processed by the large language model |
node_output_filter | Only retain final node output | Blocks output from intermediate AI conversation nodes, prevents unintended results from being included in the final output |
The parameter values provided here are common starting points. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three common misconfigurations
- Symptom: A
413 Request Entity Too Largeerror occurs during workflow runtime. Cause: TheUPLOAD_FILE_MAX_SIZEparameter was not adjusted, and large in-depth research reports cannot be uploaded due to exceeding the default limit. - Symptom: Intermediate AI conversation node content is mixed into the final output. Cause: The
node_output_filterparameter was not configured, and all node outputs are retained by default. - Symptom: Table data is lost from parsed research report content. Cause: Table structured parsing configuration was not enabled, so nested financial and channel tables cannot be fully extracted.
How to confirm configuration is correct
- Upload a baijiu in-depth research report with more than 5000 characters, check whether the workflow completes parsing normally without timeout errors.
- Trigger the workflow to run, verify that the final output only includes the preset final node content, with no redundant information from intermediate AI conversations.
- Enter a query about baijiu channel sales growth rate, confirm that the recall results include research report fragments containing the corresponding field, with no obvious unrelated content.
- Check the workflow logs, confirm that the trigger rule is event-based, adapting to the concentrated update rhythm.
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.