What the data for this category looks like
Baijiu marketing content data comes from brand official product manuals, tasting reports, offline event press releases, e-commerce product detail pages, and dealer training materials. Update frequency shifts with new product launches and festival marketing cycles. Bulk updates to existing documents occur during new product launches. Daily changes are limited to compliance adjustments. Most documents are long-form, including product parameters such as alcohol content, volume, and flavor type. They also include matching marketing copy and compliance reminders. Fields cover product SKU, activity period, and distribution channels. Units include vol%, ml, and brewing year.
What constraints these characteristics impose on knowledge base retrieval and recall
The high share of long-form text in baijiu marketing content, plus large volumes of specialized parameters and time-sensitive activity information, creates clear requirements for chunking precision and metadata filtering in retrieval and recall. Multi-SKU field designs require linked retrieval dimensions to prevent cross-category content confusion. Time-sensitive content such as festival activity copy must be filtered by activity period. Expired content should not be included in recall results. Marketing copy varies significantly across different flavor types. Retrieval must prioritize matching exclusive content for the corresponding flavor type to avoid irrelevant results interfering with business decisions.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Chunk Length | 800–1200 characters | For the chunking logic in version 4.8.10: baijiu marketing documents typically include coherent process descriptions and activity copy. This range prevents semantic breaks in individual chunks, while controlling chunk length to align with retrieval precision requirements. |
Number of Recall Results | Top 8–10 results | Baijiu marketing content involves parallel multi-SKU scenarios. An appropriate number of recall results covers relevant content across different SKUs, avoiding missed key information. |
Similarity Threshold | 0.72–0.78 | Specialized baijiu parameters and copy have high semantic matching precision requirements. This range filters low-relevance results while retaining valid matches. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Some baijiu product manuals include lengthy brewing process descriptions. A longer parsing duration ensures full parsing of document content. |
maxContext | 4000 characters | Matched chunk content must fully carry product parameters and marketing copy. This length allows combining 2–4 valid chunks to meet context integrity requirements. |
Reranked Result Count | Top 3–5 results | Final output must focus on core information. Retaining the top 3–5 reranked results avoids information overload. |
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. Each scenario requires individual analysis. Testing with sample data from the local environment is recommended before finalizing settings.
Three Common Mistakes
- When migrating a knowledge base from a development environment to a production environment, an error occurs that prevents downloading the export package. The cause is inconsistent storage bucket permission configurations between the development and production environments, with no open file download permissions for the production environment.
- After a knowledge base retrieval is initiated, returned results do not fully cover all baijiu marketing content in the knowledge base, only returning a small number of matches. The cause is an overly high similarity threshold, or overly long chunk length leading to semantic chunk breaks and lost key information.
- A 504 timeout status code appears during knowledge base retrieval. The cause is an overly low parsing timeout configuration, or a single document containing an excessively lengthy baijiu brewing process description that exceeds the parsing time limit.
How to Verify Successful Configuration
- A typical baijiu marketing document is uploaded, parsed chunk content is reviewed, and chunk length is confirmed to align with the preset range with no semantic breaks.
- A retrieval including product SKU and flavor type keywords is initiated, recalled results are checked for exclusive content corresponding to the target SKU, and recall count and similarity threshold are adjusted to cover the target scope.
- Production environment concurrent requests are simulated, retrieval response time is checked against business requirements, and parsing timeout configuration is adjusted to avoid timeout errors.
- A festival marketing document marked with an expiration time is imported, retrieval results are checked to confirm the content is not included, and metadata filtering configurations are verified as functional.
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.