What data for this category looks like
Data sources for optical module research reports include communication industry standard documents, technical white papers from optical module manufacturers, performance test reports from third-party testing institutions, and new product information released at industry exhibitions. Data updates follow manufacturers’ mass production progress and industry standard revisions, with no fixed cycle. High-frequency update nodes are concentrated during new product launch phases.
A single research report usually contains structured content such as product model, transmission rate, power consumption parameters, application scenarios, mass production time, and measured performance. Some in-depth research reports will additionally include supply chain disassembly and competitor comparison data. Field units uniformly follow communication industry specifications: transmission rate is measured in Gbps, power consumption in W, and transmission distance in km.
What constraints these characteristics impose on the citation source and traceability link
The multi-source nature of optical module research reports requires the traceability link to clearly mark data source types, and distinguish credibility levels between manufacturer technical white papers and third-party testing reports. The lack of a fixed update cycle requires traceability information to include data collection time to ensure the timeliness of cited content.
Structured fields and fixed unit specifications allow precise positioning of specific parameter entries during traceability, only associating the document fragments corresponding to the relevant parameters. However, a unit consistency verification step must be added to avoid unit conversion deviations. In addition, the high-frequency updates during new product launch seasons require traceability to associate with the corresponding version of the research report snapshot, preventing the citation of outdated data.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall_count | Top 8-12 | Optical module research reports have concentrated parameters; excessive recall adds redundant information, while insufficient recall misses key technical parameters |
similarity_threshold | 0.75-0.85 | Optical module parameters have high precision requirements; a threshold that is too low introduces irrelevant data, while a threshold that is too high misses matching professional documents |
maxToken | 16000-20000 | Optical module research reports include detailed performance test data and technical descriptions, requiring sufficient tokens to carry core content from multiple recalled documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some large optical module research reports include multiple performance charts and supply chain analysis, resulting in long parsing times |
ENABLE_QUOTE_ID | Enabled | The conversation interface must return the cited knowledge base document ID to meet traceability troubleshooting requirements |
citation_source_display_fields | Data source type, collection time, document title | Traceability of optical module research reports requires clear data sources and timeliness, complying with information traceability requirements of the communication industry |
This page provides conventional recommended parameter values as a starting point for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common mistakes
- Symptom: When calling the FastGPT conversation interface, the
quote_idfield is not present in the returned results. Cause: TheENABLE_QUOTE_IDconfiguration item is not enabled, so the interface does not return the cited knowledge base document ID. - Symptom: Only the document title is displayed in the citation source, without marking the data source type and collection time. Cause: The
citation_source_display_fieldsare not configured to include the combination of data source type and collection time, resulting in missing key dimensions of traceability information. - Symptom: Cited content returned in conversations is truncated, or inconsistent parameter values appear. Cause: The
maxTokenvalue is not adjusted according to the content length of optical module research reports, resulting in insufficient context carrying or mismatched model parameter configuration.
How to confirm configurations are set correctly
- Initiate a query that includes specific transmission rate and power consumption parameters of an optical module, check the citation area of the returned results to confirm whether data source type, collection time and document title are displayed.
- Call the FastGPT official conversation interface, check whether the returned JSON data includes the
quote_idfield and complete citation source information. - Upload an optical module research report that includes multiple performance charts, wait for parsing to complete, then check the task log to confirm no timeout errors occurred.
- Adjust the
similarity_thresholdconfiguration, then initiate the same query, compare the change in the number of recalled documents to confirm the configuration has taken effect.
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.