What data looks like for this category
This category of data primarily comes from publicly available research reports from securities firm research institutes, monthly and quarterly reports from semiconductor industry associations, and public investor relations documents from leading wafer manufacturing enterprises. Updates are triggered irregularly alongside listed company earnings releases and major industry technical events such as new process node mass production. Industry association reports are updated on a fixed periodic schedule. Document structures typically include sections for industry overviews, sub-sector parameters, enterprise benchmarking analysis, and risk warnings. Fields include sub-category names, technical nodes, production capacity scale, revenue proportion, and more. Common units are nanometers, ten thousand wafers, and hundred million yuan.
Constraints imposed by these characteristics on HTTP interfaces and external systems
Semiconductor research reports have high precision requirements for sub-sector parameters. HTTP interfaces must support precise field matching. Keyword-only recall cannot deliver effective retrieval. Update schedules are inconsistent. Some data is updated alongside real-time industry events. Interfaces must support dynamic pulling, rather than fixed batch synchronization. Document structures vary significantly. Some research reports include multi-page structured tables. External systems must support structured field extraction, not just plain text parsing. Some enterprise public documents have format restrictions. Interfaces must adapt to multiple document parsing logic, while completing cross-data source field mapping to avoid data confusion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Field Whitelist | ["process node", "production capacity scale", "revenue proportion", "downstream applications"] | Semiconductor research reports have core retrieval needs focused on technical parameters and business data. Limiting the whitelist reduces invalid recall |
Interface Timeout | 300 seconds | Some semiconductor research report data sources require cross-platform pulling of structured tables, which takes significant time. 300 seconds covers most normal pulling scenarios |
Similarity Threshold | 0.75–0.85 | Semiconductor sub-sector parameters have high semantic precision requirements. A threshold that is too low introduces irrelevant recall, while a threshold that is too high may miss valid matches |
Batch Pull Concurrency | 5–10 | Industry association reports are often updated in batches. A concurrency number that is too high may trigger data source rate limits, while a concurrency number that is too low extends the synchronization cycle |
Embedding Model Context Length | 8192 tokens | Semiconductor research reports contain a large number of technical terms and long paragraphs. Sufficient context length ensures embedding quality |
The parameter values provided on this page are common 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
- An empty result is returned after calling the HTTP interface. The cause is that the rule for triggering external search when no matches are found in the knowledge base is not configured. Only local knowledge base recall is used, so external data cannot be obtained.
- A 429 Too Many Requests status code is returned by the interface. The cause is that the batch pull concurrency number is set too high, triggering rate limits from external data sources.
- Semantic matching results deviate significantly from actual needs. The cause is that a domain-adapted embedding model is not used. General embedding models cannot accurately identify semantic associations of semiconductor technical terms.
How to Verify Successful Configuration
- Send a test request to verify whether the preset HTTP external search logic is triggered when no matching content exists in the local knowledge base. Check whether the returned results include semiconductor-related structured data.
- View interface call logs to confirm that concurrent request numbers match the preset configuration, and no rate limit errors from external data sources are triggered.
- Extract a segment of semiconductor research report text, submit it for processing by the embedding model, and check whether the generated vector can accurately match retrieval requests from the same domain.
- After configuring the field whitelist, initiate a retrieval test to confirm that returned results only include the preset core fields, with no irrelevant content.
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.