What the Data for This Category Looks Like
Optical module research report data mainly comes from public reports of securities firm communications industry research institutes, communications industry associations, and official technical documents of optical module manufacturers. Updates occur irregularly, triggered after new product mass production, industry exhibitions, or quarterly earnings report releases. Documents include structured parameter sections and unstructured analysis sections. Structured parameters include optical module rate, transmission distance, power consumption, unit price, and others. Unstructured sections include technology trends and manufacturer competition analysis. Field units follow industry unified specifications: rate unit is Gbps, transmission distance unit is km, power consumption unit is W, unit price unit is yuan per unit. Additional metadata includes research report publishing institution and publishing date.
Constraints on Workflow Orchestration
The structured parameters of optical module research reports are numerous and use unified units. This requires the workflow to support a combination of structured field extraction and semantic retrieval, to avoid unit confusion or parameter matching errors. The update cycle is irregular and lacks a fixed schedule. This requires the workflow to be configured with a scheduled trigger node and incremental update judgment logic, so that the retrieval process runs only when new research reports are published. Documents contain long-form technical analysis content. This requires the workflow to support long-text segment processing, to adapt to model context window limits. Field formatting varies slightly across different research reports. This requires the workflow to be configured with field mapping rules to unify the format of extracted parameters.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8-12 entries | The optical module research report track has high segmentation. Too many recalled entries introduce irrelevant industry content, while too few miss core parameter analysis |
Similarity threshold | 0.75 to 0.85 | Optical module industry parameter expressions follow unified specifications. A threshold that is too high misses research reports with the same parameters but different wording. A threshold that is too low introduces incorrect matching results |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single optical module research reports may include multi-manufacturer parameter comparisons and technical architecture analysis, leading to long parsing durations. Timeouts cause parsing interruptions |
Chunk size | 1000 to 1500 characters | Long-form technical analysis sections of optical module research reports have coherent logic. Segments that are too long exceed context window limits, while segments that are too short damage the integrity of technical expressions |
HTTP_REQ_RETRY_TIMES | 2 to 3 times | Research report data sources have temporary access fluctuations. Too many retries increase overall process delay, while too few retries lose valid data due to temporary faults |
System Parameter Passthrough Switch | Enabled | System-side parameters such as research report publishing institution and update time need to be passed through, to avoid repeated calls to external interfaces for metadata |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Each situation requires separate analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: Judgment node trigger logic is opposite to expectations. When using "equals" or "starts with" rules, the ELSE branch is entered. When using "contains" or "ends with" rules, the IF branch is entered. Cause: Matching logic of the judgment node is not configured correctly. Many parameters of optical module research reports are precise numerical values. Incorrect matching rules cause branch judgment to fail.
- Phenomenon: The workflow cannot obtain system-side transmitted parameters such as research report release time and data source identifier. Global variables do not recognize corresponding content. Cause: The
System Parameter Passthrough Switchconfiguration is not enabled, or system parameters are not mapped to workflow input variables. - Phenomenon: Long text of research reports returned by HTTP API is sent directly, exceeding the context window and causing model errors or content truncation. Cause: No segment cutting rules are configured. Segmentation is not performed according to the technical text logic of optical module research reports, resulting in overly long single segments.
How to Verify Successful Configuration
- Upload a single optical module research report manually, check that parsed structured fields are complete, and confirm that the timeout error corresponding to
PARSE_FILE_TIMEOUT_SECONDSdoes not trigger. - Trigger workflow retrieval, verify that the number of recalled results matches the
Recall countconfiguration, and check that similarity matching results meet business requirements. - View workflow logs, confirm that system-side parameters are correctly passed to node inputs, and verify that branch logic of the judgment node triggers normally.
- Input long-text research report content, check that segmented results match the
Chunk sizeconfiguration, and confirm that no content truncation or logical breakage occurs.
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.