What this category of data looks like
Baijiu research report data comes from public research reports of securities firms, monthly survey data from food and beverage industry associations, and third-party channel sales monitoring databases. Updates happen in real time alongside report releases. Basic industry data syncs on a quarterly or monthly basis. Document structures typically include core investment logic, production capacity and inventory data, terminal price monitoring, and operating summaries for covered liquor manufacturers. Fields include report release date, liquor manufacturer name, factory suggested price, terminal retail price, and channel sales turnover rate. Single document lengths vary widely. It is recommended to conduct statistics or testing on local samples before finalizing configuration values.
Constraints Imposed on Model Integration and Configuration
The long text structure and multi-field features of baijiu research reports require model integration to support long text segmentation and multi-field embedding. Frequently updated industry data requires index configuration to support incremental synchronization, to avoid resource consumption from full index rebuilding. Structured fields such as price and sales turnover rate require distinguishing embedding logic for structured and unstructured data during index configuration, to ensure retrieval accuracy for numerical fields. The wide range of single document lengths requires reasonable setting of segmentation parameters to balance context completeness and retrieval efficiency.
Configuration Parameter Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
embedding_model | Doubao-embedding-large | Adapts to professional terminology and structured data in baijiu research reports, improving retrieval matching accuracy |
embedding_api_url | https://api.doubao.com/embeddings | Official specified embedding model request address, supporting stable domestic network access |
max_segment_length | 800–1200 characters | Balances context completeness of long baijiu research report texts and model embedding length limits |
recall_top_k | Top 8–12 results | Baijiu research report tracks have high information density; appropriate recall covers core reference content |
similarity_threshold | 0.72–0.85 | Adapts to retrieval scenarios mixing structured and unstructured data, balancing accuracy and recall coverage |
index_sync_mode | Incremental sync | Adapts to the high-frequency update feature of baijiu research reports, reducing resource consumption from full index rebuilding |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis, and it is recommended to conduct testing on available samples before finalizing decisions.
Three Common Configuration Errors
- Phenomenon: The embedding model test returns a 404 status code (no body). Cause: The custom request address was filled incorrectly, and the official specified embedding model interface domain name was not used, causing the request to fail to match a valid service.
- Phenomenon: After commercial deployment, the channel model list only displays reranking model options, with no general language model options. Cause: The API key and request address of the general language model were not configured in the platform configuration center, or the permission switch for the corresponding model was not enabled.
- Phenomenon: The retrieved baijiu research report content contains a large number of irrelevant non-food and beverage documents. Cause: The similarity threshold was set unreasonably, causing the recall range to exceed the professional data scope of the baijiu track, or no track-specific filtering rules were configured.
How to Verify Successful Configuration
- Enter the embedding model test interface, upload a single baijiu research report fragment, execute the test request, and confirm that no error is returned.
- Initiate a simulated retrieval request, enter professional keywords related to the baijiu industry, and verify the document sources and content relevance of the recall results.
- View the index synchronization log, confirm that the incremental update task is executed according to the preset rules, and there are no abnormal failure records.
- Check the model configuration page, confirm that the bound embedding model and language model both show normal status.
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.