What the Data for This Category Looks Like
Computer equipment investment research data primarily comes from official specification documents of hardware manufacturers, third-party test reports, industry standard specifications, equipment operation and maintenance logs, and real-time performance monitoring data. There are two update cycles. Basic hardware parameters have a long update interval, while firmware, drivers, and compatibility adaptation documents are updated more frequently. Each document centers on a device model, and includes fields such as core hardware parameters, compatible operating system list, and firmware version change records. Parameter fields use international standard units uniformly, such as GHz, GB, W, bps, etc.
What Constraints These Characteristics Impose on Deployment and Upgrade
The multi-source heterogeneous nature of computer equipment investment research data requires reserving parsing interfaces compatible with multiple formats during the deployment phase. This avoids reworking parsing logic when adding new data sources. The difference in update frequency between basic parameters and adaptation documents requires configuring layered incremental synchronization tasks, prioritizing synchronization of frequently updated firmware and operation and maintenance data. The document structure centered on device models requires aggregating knowledge base indexes by model. During the upgrade phase, compatibility with older index structures is required to avoid disrupting existing historical retrieval links. Parameter fields with standard units require adding unit verification logic during the parsing phase. This prevents retrieval matching failures caused by inconsistent units.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Computer equipment documents may contain large numbers of hardware parameter tables and multi-page content. 600 seconds covers the complete parsing process and avoids mid-process timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Hardware manufacturer specification documents may include high-definition test charts and full version packages. 1000 MB can accommodate a single complete document resource |
| Recall Count | Top 10-15 results | Investment research scenarios require comparing parameters across multiple versions of the same model. This range balances retrieval coverage and inference latency control |
| Similarity Threshold | 0.75-0.85 | Field matching for hardware parameters requires high precision. This interval filters irrelevant matching results while retaining parameters of valid compatible models |
PARSE_CHUNK_SIZE | 800-1200 characters | Parameter paragraphs in computer equipment documents are mostly compact technical descriptions. This segment length preserves complete context for a single set of parameters |
RE_RANK_TOP_N | Top 5 results | Investment research scenarios require precise matching of core model parameters. Retaining the top 5 results after re-ranking balances retrieval coverage and result accuracy |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After upgrading to a specified version, running the initialization script returns a 404 error, and the knowledge base cannot respond to queries normally. Cause: The static resource mapping configuration was not updated correctly during the upgrade process, causing the interface path of the initialization script to not match the new version's service route.
- Phenomenon: When creating a knowledge base, locally deployed models cannot be selected, and the interface model list is empty. Cause: The local model access configuration was not correctly mapped to the service's model call interface, or the model configuration field format in
config.jsondoes not meet the requirements of the current version. - Phenomenon: After uploading a hardware specification document for parsing, key parameter entries are split or formatted chaotically. Cause: The segment length configuration is too small, causing complete paragraphs of hardware parameters to be split, making it impossible to associate and match complete parameter groups during retrieval.
How to Confirm Configurations Are Properly Set
- Run the initialization script, check that the return status code is 200, with no 404 or 500 errors, to confirm that the deployment link is normal.
- Upload a typical computer equipment specification document, wait for parsing to complete, and check whether parameter entries corresponding to the device model are generated in the knowledge base to confirm that the parsing logic is effective.
- Initiate a hardware parameter retrieval query, verify that the number of returned results matches the configured recall count, to confirm that the retrieval rules are effective.
- Upgrade to the target version, restart the service, and check that there are no configuration loading failure errors in the logs, to confirm that the post-upgrade configuration has been loaded normally.
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.