What this category’s data looks like
Baijiu investment research data comes from listed baijiu enterprises’ regular financial reports, public production capacity information from local production area management committees, in-depth reports from professional wine media, brokerage firm sector-specific research reports, and survey data from wine circulation associations. Update rhythms vary across sources. Financial reports update quarterly and annually. Industry association data releases monthly or quarterly. Channel and brand updates occur irregularly. Document lengths range widely. Some documents are thousands of characters of industry news. Others are tens of thousands of characters of in-depth research reports. Documents include fields such as per-bottle ex-factory price, base wine inventory, and channel sales scale. Units include yuan, tons, kiloliters, and others.
What constraints these characteristics impose on vector models and indexing
First, diverse data sources and uneven update rhythms require indexes to support incremental synchronization and timestamp-triggered updates. This avoids resource waste and delays caused by full reindexing. Second, documents contain many professional numerical fields. Encoding logic must distinguish text and numerical features. This prevents general text models from introducing semantic encoding deviations for fields like prices and inventory levels. Third, document length varies widely. Adaptive chunking parameters must match the content density of different documents. This avoids losing key information via long text truncation, or creating redundant chunks for short texts. Fourth, some channel data has high timeliness requirements. The index refresh interval must match data update frequencies to ensure real-time retrieval results.
How to set configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Matches the typical paragraph length of baijiu research reports and financial reports, to avoid splitting key numerical values from their context |
chunk_overlap | 150–200 characters | Covers professional fields between chunks, to prevent information such as per-bottle ex-factory price and base wine inventory from being truncated at chunk boundaries |
vector_embedding_model | Determined via on-site testing | Must adapt to professional terminology and numerical features of the baijiu industry. Prioritize models that support long texts and have stable encoding effects for structured data |
index_refresh_interval | 12 hours | Matches the update rhythm of channel data, balancing index loading overhead and data timeliness |
recall_count | Top 8 results | Covers the multi-dimensional data needs of the baijiu sector, to avoid missing key competitor and market information due to too few recall results |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require on-site analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Attempting to mix different vector models to process baijiu research report text and structured data triggers a
Model Incompatible Errorprompt in the interface. Cause: No mixed vector index rules are configured, and incompatible model combinations are called directly, violating the system's vector encoding specifications. - Phenomenon: A
504 Gateway Timeouterror is returned in the background when fully updating the baijiu historical knowledge base. Cause: The incremental update strategy is not enabled, and index reconstruction is performed directly on a full dataset containing tens of thousands of documents, exceeding the system's processing threshold. - Phenomenon: In version 4.9.0 local non-commercial edition, no supplementary index entries are automatically generated after uploading new research reports. Cause: The
auto_generate_supplement_indexswitch is not enabled in the system configuration, and associated field rules for supplementary indexes are not configured.
How to confirm the configuration is correct
- Upload a fragment of a baijiu financial report containing per-bottle ex-factory price and base wine inventory, perform vector retrieval, and check whether the returned results retain the semantic association of the corresponding fields to confirm the encoding logic meets expectations.
- Trigger an incremental index update, check the background system logs, and confirm the presence of a
Incremental Index Sync Successlog entry to verify the update strategy takes effect. - Adjust the
recall_countparameter value, compare the number of retrieval results before and after the adjustment, and confirm the parameter configuration is correctly loaded by the system. - Upload a short baijiu industry news article, check whether the chunked content is complete, and confirm the
chunk_sizeandchunk_overlapparameters adapt to the document length.
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.