What the data for this category looks like
Optical module research report data primarily comes from public reports from telecommunications industry associations, in-depth research reports from securities firms’ telecommunications sector coverage, and official technical documents from optical module manufacturers. Update frequency aligns with research report release timelines: quarterly in-depth reports are updated at the end of each quarter, and industry dynamic weekly reports are updated weekly. Document structure includes technical parameter modules, production capacity and shipment analysis, price trends, and supply chain landscape. Fields include optical module model, transmission rate (unit: Gbps), operating power consumption (unit: W), unit selling price (unit: yuan). Some documents include measured performance charts and competitor comparison data.
Constraints for multi-turn conversation and prompt engineering
The professional parameter attributes of optical module research reports require multi-turn conversations to track specific optical module models and parameter dimensions mentioned by users, to avoid parameter confusion caused by lost context. Research reports with different update frequencies need to distinguish between historical in-depth reports and real-time dynamics during the retrieval stage, to ensure returned content matches the user’s required time range. Clear unit fields require prompts to mandate that responses include corresponding units, to avoid unit errors. Segmented detailed data in long documents requires multi-turn conversation support for step-by-step breakdown queries, such as confirming the model first before querying corresponding production capacity, to gradually narrow the query scope.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
recallTopK | 8 to 12 results | Optical module research reports contain a large number of detailed parameters. Too many retrieved results will introduce irrelevant data, while too few will fail to cover required models and market data |
similarityThreshold | 0.75 to 0.85 | Optical module parameters are highly specialized. A threshold that is too low will retrieve irrelevant research report content, while a threshold that is too high may miss key detailed parameters |
maxHistoryTokens | 8000 to 12000 characters | Multi-turn conversations require tracking context such as optical module models, parameters, and time ranges. A sufficient context window prevents loss of parameter associations |
rerankTopN | 3 to 5 results | Research report content contains a large amount of repeated industry analysis. Re-ranking to retain core data improves response accuracy |
toolCallMaxRetry | 2 retries | Optical module parameter queries may have retrieval deviations caused by document segmentation. Limited retries can correct retrieval errors and avoid infinite loops |
maxResponseTokens | 2000 to 3000 characters | Parameter explanations in optical module research reports require sufficient length, while avoiding returning redundant content |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- When calling the chart tool to generate optical module price trend charts, empty images are returned. The cause is that the retrieved research report data does not contain sufficient continuous price sequence fields, or the prompt does not explicitly require extracting price data for the corresponding time interval.
- The AI conversation node returns empty content or an error, and no custom error handling is triggered. The cause is that
toolCallMaxRetryand exception branch trigger rules are not configured, and the state where the large model returns empty content is not captured. - Team version conversation content cannot be deleted via POST requests. The cause is that conversation ID and permission verification parameters are not correctly carried, or the API interface call format does not comply with official documentation requirements.
How to confirm successful configuration
- Initiate a continuous multi-turn conversation that includes optical module models and parameters, verify that each response associates the model and parameters mentioned in the previous round, with no context loss.
- Call the chart tool to query optical module price trends, verify that the returned content includes price fields and time ranges from the corresponding research reports, with no empty results.
- Simulate a scenario where the large model returns empty content, verify that the system triggers the preset exception handling logic, with no direct return of empty content.
- Call the conversation management API, verify that the interface returns the correct status code, and the target conversation record is removed from the list.
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.