What the data for this category looks like
Power grid equipment investment research data primarily comes from manufacturers' public product manuals, operation logs of grid operation units, industry standard specifications, bidding technical documents, and equipment fault troubleshooting reports. Update cycles vary across data types. Industry standards and finalized product parameters have longer update cycles. Operation logs and real-time operation data are updated more frequently. Document structures mainly include structured parameter tables, long-form operation guides, and unstructured fault records. It includes specialized fields such as rated voltage, rated capacity, and operating temperature, with corresponding units such as kV, MVA, ℃, and others.
Constraints These Characteristics Impose on the Context and Token Workflow
Structured parameter forms for power grid equipment have high token counts. Single documents such as long operation manuals often exceed basic context window limits, requiring precise splitting and truncation. Data with different update rhythms requires context to distinguish timeliness weights. This avoids mixing outdated finalized parameters with real-time operation data, which increases invalid token consumption. Specialized field units and naming are highly uniform. Redundant data with the same name but different units can appear during retrieval, further increasing token usage. Unstructured fault records have scattered content. Precise context range matching is needed to prevent irrelevant information from being included.
How to Set the Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
maxContextToken | 8000-12000 token | The token count of a single core power grid equipment document typically ranges from 3000-8000. This reserves sufficient context space for multi-document concatenation |
recallTopK | Top 3-5 entries | Professional power grid equipment documents have strong relevance. Excessive retrieval will cause token overload and reduce analysis efficiency |
chunkSize | 1000-1500 characters | This matches the paragraph length of power grid equipment parameter tables and operation steps. It avoids single chunks having too long or too fragmented token counts |
similarityThreshold | 0.75-0.85 | Professional terminology for power grid equipment has high recognition. A threshold that is too low will retrieve irrelevant general power documents and increase invalid tokens |
UPLOAD_FILE_MAX_SIZE | 500 MB | This adapts to the volume requirements of batch-uploaded power grid equipment operation log packages and large product manuals |
maxOutputToken | 2000-3000 token | This provides sufficient token space for parameter comparison and conclusion output required for investment research analysis |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, 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 error of
Reached the max retries per request limitappears in the interface or logs. This occurs when too many power grid equipment documents are retrieved in a single conversation. The total token count exceeds the model's supported limit, causing request retries to exhaust the quota. - Token consumption for a single conversation exceeds expectations. This happens when the number of retrieved entries is set too high. A large number of duplicate or non-core power grid equipment operation logs are introduced, increasing invalid token usage.
- Model output is truncated early. This occurs when
maxOutputTokenis set too small. It cannot accommodate complete investment research analysis conclusions, leading to missing key information.
How to Verify Proper Configuration
- Upload a power grid equipment product parameter manual. Check the segmented results parsed by the platform. Confirm that single segment length matches the range set by
chunkSize. - Initiate an investment research query for a specific power grid equipment model. Check the number of documents in the retrieval results. Confirm that it does not exceed the value set by
recallTopK. - Check the token consumption statistics in the conversation log. Confirm that the total token count for a single conversation does not exceed the model's supported limit.
- Adjust
similarityThreshold. Verify that retrieval results only include professional documents related to power grid equipment, with no irrelevant content included.
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.