What the Data for This Category Looks Like
Photovoltaic industry research report data mainly comes from securities research institutes, industry associations, listed company regular announcements, and policy release platforms. Update rhythm fluctuates with industry events. Concentrated updates occur when new policies launch or industrial chain prices adjust. Monthly tracking reports form daily content. Document structure includes core summaries, supply and demand data for each industrial chain link, cost estimates, policy interpretations, and risk reminders. Fields include publishing institution, publish date, installed capacity, module price, and more. Installed capacity is measured in gigawatts. Module price is measured in yuan per watt. Single document lengths vary widely.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
The multi-source nature of photovoltaic research reports requires workflows to support connections to multiple dispersed knowledge bases. It also requires variable filtering to precisely limit data source scope. Large differences in document length and ununified structures require the document parsing step of the workflow to adapt to variable-length text segmentation. This avoids truncation of key data. Strong professional industry terminology requires the retrieval step to set a high matching threshold. This filters irrelevant general-domain documents. The large number of industrial chain links requires workflows to support filtering retrieval results by link dimension. This improves accuracy. Unfixed update rhythms require workflows to support on-demand triggering of parsing and retrieval. This adapts to temporary industry event update needs.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parseChunkSize | 800–1200 characters | Photovoltaic research reports have high data density per segment. Excessive length will lose context association, insufficient length will destroy the integrity of professional terms |
recallTopK | Top 8–12 results | Photovoltaic research reports involve multiple industrial chain links, requiring sufficient recall volume to cover core data dimensions |
similarityThreshold | 0.72–0.80 | Photovoltaic industry terminology is highly professional, requiring high matching accuracy to filter irrelevant retrieval results |
apiTimeout | 600 seconds | Parsing long single documents and sorting large volumes of recall results takes a long time, default thresholds cannot cover requirements |
varSelectGroup | Photovoltaic research report exclusive knowledge base group | Collect multi-source photovoltaic research report data to avoid mixing non-target domain documents in retrieval |
maxConcurrent | Calibrated by actual node resource testing | Adapt to concurrency requirements of different hardware configurations, avoid process crashes caused by resource exhaustion |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: API call returns 408 request timeout, logs show document parsing is incomplete. Cause: The
apiTimeoutparameter is not adjusted to above 600 seconds, and parsing time for long single photovoltaic research report documents exceeds the default threshold. - Phenomenon: The variable selection panel only allows single knowledge base selection, and cannot filter multiple photovoltaic research report data sources. Cause: The
multiVarSelectconfiguration is not enabled, and photovoltaic research report knowledge bases are not grouped into an independent group, only full knowledge base selection is available. - Phenomenon: Process crashes occur when single-node concurrency reaches 50, and memory occupancy continues to rise. Cause: The
maxConcurrentparameter is not adjusted, and the default concurrency threshold does not adapt to the high traffic demand of photovoltaic research report retrieval, leading to resource exhaustion.
How to Confirm Proper Configuration
- Upload a local photovoltaic industry research report, check that the parsed segments cover core chapters such as industrial chain, supply and demand, and policy, with no obvious data breaks.
- Initiate a simulated retrieval request, verify that the variable selection panel can filter the specified photovoltaic research report knowledge base group, and supports multi-selection configuration.
- Adjust the concurrency number to the expected business value, monitor node CPU and memory occupancy, and confirm no abnormal crashes or resource exhaustion occur.
- Call the official API interface, verify that the returned results only contain photovoltaic industry-related documents, with no irrelevant domain data mixed in.
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.