What the Data for This Category Looks Like
Baijiu financing daily report data draws from four primary sources:
- Industry monitoring data published by the China Alcoholic Drinks Association
- Temporary announcements from listed liquor enterprises
- Transaction filing data from liquor circulation platforms
- Public financing filing notices from local financial regulatory bureaus
Documents are updated once per day. Each daily report contains all financing events across the baijiu industry for that full day. Most document content uses structured tables. Standard fields include: Full name and abbreviation of the financing subject Financing amount (unit: ten thousand yuan or hundred million yuan) Financing round Investor list Financing completion date Product category Producing area A small number of text notes from original announcement documents
Constraints for Knowledge Base Retrieval and Recall
These data characteristics create specific constraints for knowledge base retrieval and recall: High structured table share: The retrieval system must support precise field matching to prevent field confusion from full-text search. Daily incremental updates: Configure incremental synchronization tasks to avoid redundant resource usage from repeated full parsing. Clear unit and category tags in fields: Recall results must retain complete field information to eliminate unit ambiguity. Variations between full names and abbreviations for financing subjects: Configure synonym matching rules to improve recall precision.
Recommended Configuration Values
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_STRUCTURED_TABLE_ENABLE | Enabled | Baijiu financing daily reports use structured tables as their core data carrier. Enabling this setting preserves field structure and unit information |
UPLOAD_INCREMENTAL_ENABLE | Enabled | Daily reports update with incremental data each day. Incremental parsing significantly reduces single-processing time |
RECALL_TOP_K | Top 10 entries | Financing daily reports have high information density. Too many recall results increase context redundancy and reduce final response efficiency |
SIMILARITY_THRESHOLD | 0.75-0.85 | There are differences between full names and abbreviations of financing subjects. A higher threshold avoids false recalls of unrelated subjects |
PARSE_CHUNK_SIZE | 800-1200 characters | When splitting structured tables, complete field groups must be preserved. This range balances information integrity and retrieval accuracy |
RECALL_RERANK_TOP_N | Top 3 entries | Prioritize returning recently completed financing events. Reranking improves result timeliness |
The parameter values provided on this page are common starting points 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 settings.
Three Common Configuration Mistakes
- Phenomenon: Retrieval time exceeds 10 seconds, with obvious interface loading delays. Cause: Incremental update configuration is not enabled. Daily full parsing of all daily report data leads to overload of parsing and retrieval pressure.
- Phenomenon: Truncated error messages appear when calling knowledge base question answering, such as
error: { 2024-12-. Cause: After upgrading to version 4.8.12, the dependency packages of the structured parsing plugin were not updated synchronously. This leads to incomplete error message throwing after table parsing failure. - Phenomenon: Recall results show mixed financing amount units, such as displaying financing information of the same subject with both "5 million yuan" and "500 million yuan". Cause: Structured field matching is not enabled. Only full-text search is used, leading to loss of unit field information.
How to Verify Successful Configuration
- View the knowledge base's update task logs to confirm that only incremental parsing tasks run daily, with no repeated full parsing records.
- Enter test search terms that include the financing subject's abbreviation, round and unit. Check that recall results retain all information of the corresponding fields in full.
- View retrieval time consumption metrics on the system monitoring panel. Adjust the similarity threshold and number of recalled entries based on business timeliness requirements.
- Run version compatibility testing. Confirm that complete error messages are returned when calling knowledge base question answering, with no truncation.
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.