What data in this category looks like
Specialized equipment investment research data comes primarily from official manufacturer technical manuals, real-time device operation logs, operation ledgers, industry standard documents, and quality inspection reports. Real-time operation data updates at minute to second intervals. Manufacturer technical documents and industry standards update quarterly to annually. Document structures include structured parameter tables, unstructured fault analysis reports, and long-form technical descriptions. Fields cover device models, operating parameters, fault codes, maintenance cycles, and more. Units include professional metrology identifiers such as MPa, rpm, kW, and others.
Constraints on model access and configuration
Real-time data updates at minute to second intervals require model call latency to align with business rhythms, to avoid data lag impacting investment research analysis. The presence of long-form technical manuals and operation ledgers requires configuring sufficient context windows to hold complete document fragments, preventing truncation of core information. Structured parameters and professional units require the model to have industry terminology recognition capabilities, to avoid analysis deviations caused by parameter unit confusion. Format differences across multiple source document types require configuring parsing rules adapted to each type, to ensure complete and accurate data extraction.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Single chapters of specialized equipment technical manuals are typically 2000–5000 characters long. This range can accommodate at least two complete documents plus question context |
embedding_batch_size | 32–64 | Specialized equipment data is mostly structured field concatenation. Batch processing reduces token consumption and improves parsing efficiency |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large device operation ledger single files can reach 50MB. Parsing takes significant time, so this avoids premature timeout interruptions |
Recall count | Top 8–12 entries | Investment research analysis requires covering multi-dimensional parameters. Too many recalls exceed model context limits, while too few miss core information |
Similarity threshold | Calibrated based on actual testing | Specialized equipment has many industry terms. Adjust the threshold using actual retrieval results to balance recall accuracy and coverage |
model_id | Mainstream commercial or open-source models matched to the specialized equipment investment research scenario | General models have insufficient accuracy for industry terminology recognition. Specialized fine-tuned models improve the professionalism of investment research analysis |
The parameter values provided on this page are all common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Model interface returns 405 status code. Cause: The configured model access address does not allow POST request methods.
- Model response time exceeds the preset threshold. Cause: Input context length is not limited, and the model loads too many non-core device operation documents.
- Cannot retrieve the configured model ID in the workflow. Cause: The model was not registered on the model management page, or the filled model ID does not match the format required by the platform.
How to confirm the configuration is complete
- Upload one typical specialized equipment technical manual, and check if the parsed text fields fully retain parameters, units, and fault codes.
- Submit one query about device operating parameters, and verify that returned results include relevant document fragments within the configured recall count range.
- View the model call log, confirm that the requested
model_idmatches the configuration item, and that the interface returns a 200 status code. - Test long-text queries, confirm that the model's response time meets business requirements, and no timeout errors occur.
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.