What the data for this category looks like
Optical module-related data primarily comes from public specification documents of communication equipment manufacturers, third-party test institution reports, and industry standard documents. It supports the creation of optical module marketing content and customer acquisition for the financial industry. Data update rhythm adjusts with new product launches. The update cycle for standard models is six months to one year. A single document usually includes fields such as model identifier, transmission rate, operating wavelength, power consumption, interface type, operating temperature range, and compliance certifications. Transmission rate is measured in Gbps, wavelength in nm, power consumption in W, and temperature range uses degrees Celsius as the unit.
What constraints these characteristics impose on the "multi-turn dialogue and prompt engineering" link
Optical module data sources are scattered and fields are specialized. When serving financial industry marketing and customer acquisition, multi-turn dialogue must accurately match the model and corresponding parameters mentioned by users to avoid negatively impacting marketing communication effectiveness. Document formats vary widely across different sources. Prompt engineering must clearly define unified field extraction rules to ensure parameter accuracy in marketing content. Data update cycles are not fixed. Dialogue workflows must include knowledge base sync trigger conditions to ensure the latest marketing parameters are provided to customers. Fields such as transmission rate and wavelength have dedicated units. Prompt engineering must explicitly require standard units to be included in outputs to avoid customer confusion. Long specification documents contain substantial content. Reasonable segmented recall rules must be configured to ensure key marketing parameters are accurately extracted.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Optical module documents have many parameters per segment. Sufficient historical dialogue context must be retained to avoid repeated mentions of models and parameters |
recall_top_k | Top 6–8 entries | Optical module parameter fields are diverse. Sufficient candidate documents must be covered to ensure matching of specific model parameters of interest to users |
similarity_threshold | 0.75–0.85 | Professional parameter matching requires a high similarity threshold to avoid mixing in irrelevant general communication documents |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large manufacturer specification documents have lengthy content. Sufficient time is required to complete text parsing and field extraction |
enable_history_reference | Enabled | There are many optical module models. Historical dialogue mentions of models must be linked to avoid deviations in parameter matching |
rag_trigger_mode | Triggered by user questions | Optical module data updates have no fixed cycle. Knowledge base retrieval must be triggered in real time to ensure the latest specification information is used |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: Some dialogues do not trigger knowledge base retrieval and only return generic responses. Cause:
rag_trigger_modeis not configured to trigger on user questions, or no keyword trigger rules matching optical module parameters are set. - Phenomenon: As more questions are asked in the same dialogue window, knowledge base retrieval time exceeds 1 minute, while retrieval speed in new windows is normal. Cause: The character length limit for
maxContextis not set, excessive accumulated historical dialogue increases context loading time, and the number of recalled entries forrecall_top_kis not controlled, leading to an overly large retrieval scope. - Phenomenon: Global default variables cannot be retained across multi-turn dialogues, or historical dialogue model parameters cannot be directly referenced. Cause: The global variable persistent storage function is not enabled, or
enable_history_referenceis not configured as Enabled, leading to incorrect association of historical dialogue context.
How to confirm configurations are set correctly
- Initiate a query that includes a specific optical module model, verify that the response includes standard units for the corresponding parameters, and confirm that parameter extraction complies with configuration rules.
- Initiate three or more consecutive queries related to the same model, verify that each response links to the previously mentioned model, and no parameter confusion occurs.
- Upload a large optical module specification document, wait for parsing to complete, then initiate relevant queries, confirm that retrieval time meets expectations, and no timeout errors occur.
- Test the global variable storage function, initiate a query that includes custom default parameters, confirm that the parameter is not reset in subsequent dialogues.
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.