What data for this category looks like
Computer equipment investment research data primarily originates from official manufacturer specifications, third-party performance test reports, industry alliance standard documents, and internal enterprise operation logs. Data updates follow hardware model iterations, firmware upgrades, or new test result releases, with no fixed schedule. Update frequency is higher when new products launch. Documents include structured parameter tables, unstructured test scenario descriptions, and compliance notes. Fields include core count (unit: cores), clock speed (unit: GHz), power consumption (unit: W), IOPS (unit: operations per second), and more. Some documents include firmware version number and hardware serial number fields.
What constraints these characteristics impose on model access and configuration
Structured parameters make up a large share of data, but field names and units vary. This requires model access to support custom field mapping and unit conversion rules. Data updates have no fixed schedule. This requires configuring a flexible knowledge base sync trigger mechanism. Long-text test reports and compliance notes account for a notable share. This requires configuring segmented parameters to adapt to long-text splitting. Hardware models are closely linked to firmware versions. This requires adding version number matching filter conditions during the recall phase to avoid confusion of parameters across models.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Computer equipment investment research documents mostly consist of long parameter tables and test reports. This range adapts to long-text recall and avoids truncating critical parameters |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Single hardware test reports can span dozens of pages. Parsing takes significant time, so the timeout threshold must be extended |
Recall Count | Top 8–12 results | Computer equipment has many parameter dimensions. Sufficient recall entries are needed to cover core metrics and avoid missing critical parameters |
Similarity Threshold | 0.75–0.85 | Hardware model and parameter names have similarities. A higher threshold is needed to filter low-relevance recall results |
Rerank Return Count | Top 3–5 results | Focus on core hardware specifications and test results, and reduce redundant information processed by the model |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Hardware firmware packages and full test reports have large file sizes. The upload file limit must be expanded |
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. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- The phenomenon is that the model fails to recall the specified hardware specification document and returns a generic answer. The cause is that the specified file binding function is not enabled in the recall configuration, or the target document is not marked as an investment research dedicated knowledge base entry.
- The phenomenon is that the custom rerank model request returns error code 400, or the returned result does not meet expectations. The cause is that the port and path of the custom request address are not filled in correctly, or the request header does not carry correct authentication parameters.
- The phenomenon is that the document parsing task triggers a
PARSE_FILE_TIMEOUTerror. The cause is that thePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted based on the size of the hardware document, and the default value for general product categories is used instead.
How to confirm successful configuration
- Upload a typical computer equipment specification document, trigger knowledge base synchronization, and check if the synchronization log shows successful parsing and complete field extraction.
- Submit a test query, enter content that includes hardware core parameters, and verify that the recall results include the corresponding fields from the target document.
- After configuring the custom rerank model, send a test request and check if the number and order of returned results match the preset
Rerank Return Countparameter. - Upload a hardware test report that exceeds the default upload limit, and confirm that the upload function works normally with no file size limit error.
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.