What Data for This Category Looks Like
Semiconductor investment research data mainly comes from industry association quarterly reports, foundry public financial reports, global patent databases, EDA tool output documents, and original equipment manufacturer product specifications. Update cadence varies by type: industry reports are updated quarterly, financial reports are released quarterly, patents are added in real time, and product specifications are updated with product line iterations. Document structures include long-text research reports, structured production capacity/parameter tables, and patent claims. Fields cover process nodes, wafer yield, chip area, supply chain manufacturer names, patent application numbers, and some fields have dedicated units.
Constraints on Citation Traceability Imposed by These Characteristics
The multi-source mixed structure and differentiated update cadence of semiconductor investment research data create multiple traceability constraints. Long-text research reports and structured parameter tables coexist, requiring precise positioning to specific paragraphs or table rows for traceability. Only associating with the entire document cannot achieve this goal. Different data sources have distinct update frequencies, so data release time must be marked in traceability results to avoid using outdated information. Patent documents have claims and abstracts as separate content blocks, so traceability must link to the corresponding patent application number and applicant organization. Dedicated units for structured parameters must be displayed in traceability results to ensure verifiability of investment research conclusions. Decentralized supply chain manufacturer data sources require clear marking of source entities during traceability to avoid confusion between parameter data from different manufacturers.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8-12 entries | Semiconductor investment research documents have high content density. Too many retrieved results will exceed token limits, while too few will fail to cover core parameters and industry trends |
maxContext | 8000-12000 characters | Valid information in a single semiconductor research report, core patent content, or OEM product specification typically falls within this range, preventing truncation of critical parameters |
UPLOAD_FILE_MAX_SIZE | 500 MB | Some batch foundry financial reports and packaged patent documents have large individual file sizes, so this setting must accommodate large file upload requirements |
Rerank result count | Top 3-5 entries | Semiconductor investment research requires precise parameters. Retaining a small number of core sources after reranking improves traceability readability and efficiency |
Similarity threshold | 0.75-0.85 | Semiconductor professional parameters have strict wording requirements. A higher threshold prevents irrelevant documents from interfering with search results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large packaged patent documents or batch research reports takes a long time. Extending the timeout period prevents parsing failures |
The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: The global variable
datasetidconfigured in the knowledge base retrieval node does not take effect, and the retrieval returns empty results. Cause: The global variable reference switch is not enabled in the retrieval node's parameter configuration, or the variable name does not match the preset global variable. - Issue: Extra summary modifiers are added to the AI-generated retrieval results, and the original knowledge base text content is not directly displayed. Cause: The automatic summary configuration item for retrieval results is not disabled, or the content polishing switch is enabled.
- Issue: When
maxContextis set to 50000 characters, the retrieval node frequently triggers timeout errors. Cause: The tokens sent in a single retrieval exceed the context capacity limit of the large model, and no segmented retrieval logic is configured, resulting in excessive parsing and call time.
How to Verify Successful Configuration
- Manually trigger a knowledge base retrieval, and check if each returned result includes the source document title, release time, and specific paragraph marker.
- Check the parameter configuration of the retrieval node, confirm that the global variable has been correctly bound, and that the variable name exactly matches the preset global variable name.
- Check the unit display in the retrieval results, confirm that the units of structured parameters are displayed in the traceability content.
- Adjust any retrieval configuration item, trigger retrieval again, and compare the differences between the before and after results to confirm that the configuration modification has taken effect.
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.