What the data for this category looks like
Semiconductor research reports originate from publicly available materials of securities research institutes, vertical semiconductor industry media, corporate official financial reports, and technical conference presentations. Standard industry tracks receive monthly or quarterly updates. Special reports covering new product process nodes or capacity adjustments are released immediately. Typical document structures include core parameter tables, process technology analyses, industry supply and demand data, investment ratings, and recommendations. Individual document text lengths vary widely. They contain many specialized numerical fields and visual charts. Common fields and their units include process nodes (unit: nanometers), production capacity (unit: ten thousand wafers per month), revenue breakdowns (unit: hundred million yuan), and investment rating tags.
Constraints Imposed on Model Integration and Configuration by These Characteristics
The long text and specialized numerical fields in semiconductor research reports require models to support long context windows and vector normalization configurations. This prevents core parameters from being truncated and avoids errors in semantic similarity calculations. Frequently updated content requires a scheduled index update mechanism to ensure retrieval timeliness. The presence of multiple charts and visual elements requires enabling image parsing capabilities for multimodal models to avoid missing visual professional data. The narrow audience focus of segmented industry tracks requires keeping recall parameters within reasonable ranges to prevent redundant information from interfering with the model’s professional judgment.
How to Set the Configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
embedding_normalization | Enabled | Semiconductor research reports contain numerous standardized numerical fields. Non-normalized vector models cause deviations in semantic similarity calculations. This setting leverages the normalization configuration capability added in version 4.8.23 |
maxContext | 8000–12000 characters | Individual semiconductor research report text lengths are typically long. This setting avoids truncating core process parameters and industry supply and demand data |
tool_call_choice | auto | Allows the model to independently determine whether to call the research report retrieval tool, adapting to dynamic retrieval needs in segmented scenarios |
recall_top_k | Top 6–10 results | Content in semiconductor segmented tracks has high concentration. A small number of highly relevant recall results can cover core analytical logic |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Individual research reports contain multi-page charts and long text. This setting avoids timeout interruptions during the parsing process |
image_analysis_enabled | Enabled | Semiconductor research reports include visual elements such as process diagrams and capacity bar charts. Multimodal analysis capability must be enabled to extract chart information |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Model stream response is empty, with a prompt indicating that valid model output cannot be obtained. Cause:
embedding_normalizationis not enabled, resulting in unnormalized vector model output. Abnormal similarity calculation triggers an empty response. - Symptom: Multimodal model image analysis fails, with a prompt indicating that images cannot be downloaded. Cause: No accessible domain whitelist for research report images is configured, or
PARSE_FILE_TIMEOUT_SECONDSis set too short, causing image loading to time out. - Symptom: Tool calls are not triggered, and the process cannot independently select retrieval actions. Cause:
tool_call_choiceis set toforced, restricting the model’s permission to independently judge retrieval timing.
How to Confirm Successful Configuration
- View the vector model configuration panel to confirm that the
embedding_normalizationswitch is enabled. - Upload a single semiconductor research report, and check that the parsed text does not show excessive truncation, and that image analysis results display normally.
- Submit a test query, and observe whether the model independently triggers the research report retrieval tool, and whether the returned recall results include semiconductor professional parameter content.
- Check system operation logs to confirm that there are no error records of empty model stream responses or failed image downloads.
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.