Data Profile for This Category
Data for cultural and entertainment products research reports originates from multiple sources. These include public reports from light industry manufacturing industry associations, research reports from securities firms focused on the light industry manufacturing sector, quarterly operating announcements from leading brands, and category monitoring data from e-commerce platforms. Update frequencies differ across sources. Industry association reports are primarily released quarterly or semi-annually. Brand operating announcements are published immediately following key operating milestones. E-commerce monitoring data is updated monthly. Most documents follow a consistent structure. This structure includes sections for industry overview, segmented product category performance, channel analysis, competitive landscape, and risk warnings. Document fields include category scale, channel share, core brand market share, and user profile tags. Supported units include ten thousand yuan, percentage, and SKU count.
Constraints on Deployment and Upgrade
Multiple heterogeneous data sources require support for multiple document formats during deployment, including PDF, Excel, and web pages. Scheduled synchronization rules must be configured for multi-source data to match the update rhythms of different sources. A high proportion of long documents demands optimization of chunk parsing and context recall logic during upgrades. This prevents model output confusion caused by overly long single chunks or overly broad recall ranges. The diversity of fields and units requires unified field mapping rules to be configured during knowledge base initialization. This prevents unit confusion or missing fields during later retrieval. Research reports contain a large number of specialized terms. Upgrade phases require synchronized updates to term dictionaries to improve retrieval accuracy.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Cultural and entertainment products research reports are mostly long documents. Standard timeout durations are insufficient for complete parsing |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some industry research report documents have large file sizes. The single-file upload limit must be raised |
maxContext | 8000–12000 characters | Must cover the core analysis paragraphs of a single research report to avoid truncation of critical information |
| Recall Count | Top 8–10 results | Cultural and entertainment products research reports cover many segmented dimensions. An appropriate number of recall results can cover multiple analytical aspects |
| Similarity Threshold | 0.75–0.85 | Balances retrieval precision and recall rate, avoiding irrelevant research reports interfering with final results |
PARSE_CHUNK_SIZE | 1500–2000 characters | Matches the paragraph structure of research reports, avoiding broken context associations caused by overly long chunks |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: After submitting an English prompt and configuring an English knowledge base, the model still outputs Chinese text. Cause: The
LLM_MODELparameter was not correctly set to an English model, or the system default Chinese prompt template was not replaced. - Symptom: A
504 Gateway Timeoutor403 Forbiddenerror occurs when connecting to the vector database. Cause: HTTP proxy parameters were not added to the vector database configuration, or proxy rules do not match the internal network access path. - Symptom: After deployment on a Linux system, parsing large research reports triggers an
OOM Killederror. Cause: TheUPLOAD_FILE_MAX_SIZEparameter and container memory allocation parameters were not adjusted based on the average size of research report documents.
How to Verify Proper Configuration
- Upload a single research report document larger than 100 MB, and check if parsing completes within the preset duration. If not, adjust the
PARSE_FILE_TIMEOUT_SECONDSparameter. - Run a vector database connection test, and check if the returned results include normal vector dimension information. If a connection error occurs, review the proxy configuration and internal network access rules.
- Submit an English prompt to retrieve English research reports, and check if the model output language matches the prompt requirements. If not, reconfigure the
LLM_MODELparameter and prompt template. - View service logs on the Linux system, and confirm that memory usage does not exceed the container allocation threshold. If an out-of-memory error occurs, adjust the container memory parameters and
UPLOAD_FILE_MAX_SIZEconfiguration.
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.